{"id":7,"date":"2025-12-29T00:44:47","date_gmt":"2025-12-29T00:44:47","guid":{"rendered":"https:\/\/genguide.growthrowstory.com\/?p=7"},"modified":"2025-12-29T00:44:47","modified_gmt":"2025-12-29T00:44:47","slug":"giam-sat-thoi-gian-thuc-24-7-bi-quyet-chan-nuoi-heo-thong-minh-cua-trackfarm-tai-viet-nam","status":"publish","type":"post","link":"https:\/\/genguide.growthrowstory.com\/?p=7","title":{"rendered":"Gi\u00e1m S\u00e1t Th\u1eddi Gian Th\u1ef1c 24\/7: B\u00ed Quy\u1ebft Ch\u0103n Nu\u00f4i Heo Th\u00f4ng Minh C\u1ee7a TrackFarm T\u1ea1i Vi\u1ec7t Nam"},"content":{"rendered":"

TrackFarm: Cu\u1ed9c C\u00e1ch M\u1ea1ng Gi\u00e1m S\u00e1t Th\u1eddi Gian Th\u1ef1c Trong Ch\u0103n Nu\u00f4i Heo<\/strong><\/p>\n

B\u1ea1n \u0111\u00e3 bao gi\u1edd t\u01b0\u1edfng t\u01b0\u1ee3ng m\u1ed9t trang tr\u1ea1i heo ho\u1ea1t \u0111\u1ed9ng nh\u01b0 m\u1ed9t trung t\u00e2m d\u1eef li\u1ec7u c\u00f4ng ngh\u1ec7 cao, n\u01a1i m\u1ecdi chuy\u1ec3n \u0111\u1ed9ng, m\u1ecdi ti\u1ebfng th\u1edf c\u1ee7a t\u1eebng c\u00e1 th\u1ec3 \u0111\u1ec1u \u0111\u01b0\u1ee3c ghi l\u1ea1i, ph\u00e2n t\u00edch v\u00e0 \u0111\u01b0a ra c\u1ea3nh b\u00e1o t\u1ee9c th\u00ec? \u0110\u00f3 kh\u00f4ng c\u00f2n l\u00e0 vi\u1ec5n c\u1ea3nh t\u01b0\u01a1ng lai n\u1eefa. \u0110\u00f3 ch\u00ednh l\u00e0 th\u1ef1c t\u1ebf m\u00e0 TrackFarm<\/strong> \u0111ang mang l\u1ea1i cho ng\u00e0nh ch\u0103n nu\u00f4i heo, \u0111\u1eb7c bi\u1ec7t l\u00e0 t\u1ea1i Vi\u1ec7t Nam, n\u01a1i ch\u00fang t\u00f4i \u0111ang m\u1edf r\u1ed9ng ho\u1ea1t \u0111\u1ed9ng t\u1ea1i TP. H\u1ed3 Ch\u00ed Minh v\u00e0 \u0110\u1ed3ng Nai.<\/p>\n

Trong b\u1ed1i c\u1ea3nh ng\u00e0nh ch\u0103n nu\u00f4i \u0111ang \u0111\u1ed1i m\u1eb7t v\u1edbi v\u00f4 v\u00e0n th\u00e1ch th\u1ee9c t\u1eeb d\u1ecbch b\u1ec7nh ph\u1ee9c t\u1ea1p, bi\u1ebfn \u0111\u1ed5i kh\u00ed h\u1eadu, \u0111\u1ebfn y\u00eau c\u1ea7u ng\u00e0y c\u00e0ng cao v\u1ec1 ch\u1ea5t l\u01b0\u1ee3ng v\u00e0 hi\u1ec7u su\u1ea5t, vi\u1ec7c \u00e1p d\u1ee5ng c\u00f4ng ngh\u1ec7 l\u00e0 ch\u00eca kh\u00f3a \u0111\u1ec3 t\u1ed3n t\u1ea1i v\u00e0 ph\u00e1t tri\u1ec3n. TrackFarm, \u0111\u01b0\u1ee3c th\u00e0nh l\u1eadp v\u00e0o n\u0103m 2021, \u0111\u00e3 nhanh ch\u00f3ng tr\u1edf th\u00e0nh ng\u01b0\u1eddi ti\u00ean phong trong l\u0129nh v\u1ef1c n\u00e0y b\u1eb1ng c\u00e1ch t\u00edch h\u1ee3p Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o (AI) v\u00e0 H\u1ecdc s\u00e2u (Deep Learning) v\u00e0o quy tr\u00ecnh qu\u1ea3n l\u00fd trang tr\u1ea1i. Tuy nhi\u00ean, \u0111i\u1ec3m s\u00e1ng th\u1ef1c s\u1ef1 v\u00e0 l\u00e0 n\u1ec1n t\u1ea3ng cho m\u1ecdi th\u00e0nh c\u00f4ng c\u1ee7a h\u1ec7 th\u1ed1ng n\u00e0y ch\u00ednh l\u00e0 kh\u1ea3 n\u0103ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c<\/strong> v\u01b0\u1ee3t tr\u1ed9i.<\/p>\n

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I. Gi\u00e1m S\u00e1t Th\u1eddi Gian Th\u1ef1c: H\u01a1n C\u1ea3 M\u1ed9t Camera Quan S\u00e1t<\/h3>\n

Nhi\u1ec1u ng\u01b0\u1eddi ngh\u0129 r\u1eb1ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c ch\u1ec9 \u0111\u01a1n gi\u1ea3n l\u00e0 l\u1eafp \u0111\u1eb7t camera v\u00e0 xem tr\u1ef1c ti\u1ebfp. TrackFarm \u0111\u00e3 n\u00e2ng kh\u00e1i ni\u1ec7m n\u00e0y l\u00ean m\u1ed9t t\u1ea7m cao m\u1edbi. H\u1ec7 th\u1ed1ng c\u1ee7a ch\u00fang t\u00f4i kh\u00f4ng ch\u1ec9 “nh\u00ecn” m\u00e0 c\u00f2n “hi\u1ec3u” nh\u1eefng g\u00ec \u0111ang di\u1ec5n ra trong chu\u1ed3ng tr\u1ea1i.<\/p>\n

1. M\u1eaft Th\u1ea7n AI: Theo D\u00f5i T\u1eebng Chuy\u1ec3n \u0110\u1ed9ng<\/h4>\n

C\u1ed1t l\u00f5i c\u1ee7a t\u00ednh n\u0103ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c l\u00e0 h\u1ec7 th\u1ed1ng camera AI ti\u00ean ti\u1ebfn. Nh\u1eefng chi\u1ebfc camera n\u00e0y kh\u00f4ng ch\u1ec9 ghi l\u1ea1i h\u00ecnh \u1ea3nh m\u00e0 c\u00f2n li\u00ean t\u1ee5c truy\u1ec1n d\u1eef li\u1ec7u v\u1ec1 m\u1ed9t m\u00f4 h\u00ecnh H\u1ecdc s\u00e2u kh\u1ed5ng l\u1ed3. M\u00f4 h\u00ecnh n\u00e0y \u0111\u00e3 \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n v\u1edbi h\u01a1n 7.800+ d\u1eef li\u1ec7u m\u00f4 h\u00ecnh heo<\/strong> kh\u00e1c nhau, cho ph\u00e9p n\u00f3 nh\u1eadn di\u1ec7n v\u00e0 theo d\u00f5i t\u1eebng c\u00e1 th\u1ec3 heo m\u1ed9t c\u00e1ch ch\u00ednh x\u00e1c.<\/p>\n

Theo d\u00f5i c\u00e1 th\u1ec3 (Object Management):<\/strong> \u0110\u00e2y l\u00e0 m\u1ed9t b\u01b0\u1edbc \u0111\u1ed9t ph\u00e1. Thay v\u00ec ch\u1ec9 theo d\u00f5i \u0111\u00e0n heo n\u00f3i chung, TrackFarm g\u00e1n m\u1ed9t “d\u1ea5u v\u00e2n tay” k\u1ef9 thu\u1eadt s\u1ed1 cho m\u1ed7i con heo. H\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 theo d\u00f5i v\u1ecb tr\u00ed, th\u1eddi gian \u0103n u\u1ed1ng, m\u1ee9c \u0111\u1ed9 ho\u1ea1t \u0111\u1ed9ng, v\u00e0 th\u1eadm ch\u00ed l\u00e0 t\u01b0 th\u1ebf n\u1eb1m ngh\u1ec9 c\u1ee7a t\u1eebng con heo trong th\u1eddi gian th\u1ef1c.<\/p>\n

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“Kh\u1ea3 n\u0103ng theo d\u00f5i c\u00e1 th\u1ec3 gi\u00fap ng\u01b0\u1eddi ch\u0103n nu\u00f4i chuy\u1ec3n t\u1eeb qu\u1ea3n l\u00fd ‘\u0111\u00e0n’ sang qu\u1ea3n l\u00fd ‘t\u1eebng con’, t\u1eeb \u0111\u00f3 t\u1ed1i \u01b0u h\u00f3a ch\u0103m s\u00f3c v\u00e0 dinh d\u01b0\u1ee1ng m\u1ed9t c\u00e1ch c\u00e1 nh\u00e2n h\u00f3a.”<\/p>\n<\/blockquote>\n

H\u00e3y t\u01b0\u1edfng t\u01b0\u1ee3ng, b\u1ea1n c\u00f3 th\u1ec3 bi\u1ebft ch\u00ednh x\u00e1c con heo s\u1ed1 123 \u0111\u00e3 \u0103n bao nhi\u00eau, di chuy\u1ec3n bao xa, v\u00e0 t\u01b0\u01a1ng t\u00e1c v\u1edbi nh\u1eefng con heo n\u00e0o trong 24 gi\u1edd qua, t\u1ea5t c\u1ea3 ch\u1ec9 qua m\u1ed9t c\u00fa nh\u1ea5p chu\u1ed9t tr\u00ean giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng (UI) th\u00e2n thi\u1ec7n.<\/p>\n

\"Giao<\/p>\n

2. Ph\u00e2n T\u00edch H\u00e0nh Vi: Ch\u00eca Kh\u00f3a Ph\u00e1t Hi\u1ec7n S\u1edbm D\u1ecbch B\u1ec7nh<\/h4>\n

S\u1ef1 kh\u00e1c bi\u1ec7t l\u1edbn nh\u1ea5t c\u1ee7a gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c b\u1eb1ng AI l\u00e0 kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch h\u00e0nh vi. Heo l\u00e0 lo\u00e0i v\u1eadt c\u00f3 th\u00f3i quen sinh ho\u1ea1t r\u1ea5t r\u00f5 r\u00e0ng. B\u1ea5t k\u1ef3 s\u1ef1 thay \u0111\u1ed5i nh\u1ecf n\u00e0o trong h\u00e0nh vi \u0111\u1ec1u c\u00f3 th\u1ec3 l\u00e0 d\u1ea5u hi\u1ec7u s\u1edbm c\u1ee7a b\u1ec7nh t\u1eadt ho\u1eb7c c\u0103ng th\u1eb3ng.<\/p>\n

H\u1ec7 th\u1ed1ng gi\u00e1m s\u00e1t c\u1ee7a TrackFarm li\u00ean t\u1ee5c t\u00ecm ki\u1ebfm c\u00e1c d\u1ea5u hi\u1ec7u b\u1ea5t th\u01b0\u1eddng sau:<\/strong><\/p>\n

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  • Gi\u1ea3m ho\u1ea1t \u0111\u1ed9ng:<\/strong> Heo b\u1ec7nh th\u01b0\u1eddng \u00edt di chuy\u1ec3n, n\u1eb1m l\u00ec m\u1ed9t ch\u1ed7.<\/li>\n
  • Thay \u0111\u1ed5i t\u01b0 th\u1ebf:<\/strong> T\u01b0 th\u1ebf n\u1eb1m co ro, n\u1eb1m s\u1ea5p b\u1ea5t th\u01b0\u1eddng c\u00f3 th\u1ec3 l\u00e0 d\u1ea5u hi\u1ec7u \u0111au b\u1ee5ng ho\u1eb7c kh\u00f3 ch\u1ecbu.<\/li>\n
  • Thay \u0111\u1ed5i th\u00f3i quen \u0103n u\u1ed1ng:<\/strong> Gi\u1ea3m l\u01b0\u1ee3ng th\u1ee9c \u0103n ti\u00eau th\u1ee5 ho\u1eb7c b\u1ecf \u0103n.<\/li>\n
  • T\u01b0\u01a1ng t\u00e1c x\u00e3 h\u1ed9i b\u1ea5t th\u01b0\u1eddng:<\/strong> Heo b\u1ecb c\u00f4 l\u1eadp ho\u1eb7c b\u1ecb c\u00e1c con kh\u00e1c tr\u00e1nh xa.<\/li>\n
  • Ho, h\u1eaft h\u01a1i, th\u1edf d\u1ed1c:<\/strong> H\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 ph\u00e2n t\u00edch c\u1ea3 \u00e2m thanh trong chu\u1ed3ng tr\u1ea1i \u0111\u1ec3 ph\u00e1t hi\u1ec7n c\u00e1c tri\u1ec7u ch\u1ee9ng h\u00f4 h\u1ea5p.<\/li>\n<\/ul>\n

    Khi m\u1ed9t h\u00e0nh vi b\u1ea5t th\u01b0\u1eddng \u0111\u01b0\u1ee3c ph\u00e1t hi\u1ec7n, h\u1ec7 th\u1ed1ng s\u1ebd ngay l\u1eadp t\u1ee9c g\u1eedi c\u1ea3nh b\u00e1o \u0111\u1ebfn \u0111i\u1ec7n tho\u1ea1i ho\u1eb7c m\u00e1y t\u00ednh c\u1ee7a ng\u01b0\u1eddi qu\u1ea3n l\u00fd trang tr\u1ea1i. T\u1ed1c \u0111\u1ed9 ph\u1ea3n \u1ee9ng n\u00e0y l\u00e0 v\u00f4 gi\u00e1, v\u00ec trong ch\u0103n nu\u00f4i, m\u1ed7i gi\u1edd ch\u1eadm tr\u1ec5 c\u00f3 th\u1ec3 \u0111\u1ed3ng ngh\u0129a v\u1edbi thi\u1ec7t h\u1ea1i h\u00e0ng ch\u1ee5c tri\u1ec7u \u0111\u1ed3ng.<\/strong><\/p>\n

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    II. T\u00e1c \u0110\u1ed9ng C\u1ee7a Gi\u00e1m S\u00e1t Th\u1eddi Gian Th\u1ef1c \u0110\u1ebfn N\u0103ng Su\u1ea5t v\u00e0 L\u1ee3i Nhu\u1eadn<\/h3>\n

    Kh\u1ea3 n\u0103ng gi\u00e1m s\u00e1t 24\/7 kh\u00f4ng ch\u1ec9 gi\u00fap ki\u1ec3m so\u00e1t d\u1ecbch b\u1ec7nh m\u00e0 c\u00f2n l\u00e0 c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd \u0111\u1ec3 t\u1ed1i \u01b0u h\u00f3a hi\u1ec7u su\u1ea5t v\u00e0 t\u0103ng l\u1ee3i nhu\u1eadn cho trang tr\u1ea1i.<\/p>\n

    1. T\u1ed1i \u01afu H\u00f3a Quy Tr\u00ecnh Ch\u0103m S\u00f3c<\/h4>\n

    V\u1edbi d\u1eef li\u1ec7u th\u1eddi gian th\u1ef1c, ng\u01b0\u1eddi ch\u0103n nu\u00f4i c\u00f3 th\u1ec3 \u0111\u01b0a ra c\u00e1c quy\u1ebft \u0111\u1ecbnh ch\u00ednh x\u00e1c h\u01a1n v\u1ec1 m\u00f4i tr\u01b0\u1eddng s\u1ed1ng c\u1ee7a heo.<\/p>\n\n\n\n\n\n\n\n\n
    Y\u1ebfu T\u1ed1 M\u00f4i Tr\u01b0\u1eddng<\/th>\nD\u1eef Li\u1ec7u Gi\u00e1m S\u00e1t Th\u1eddi Gian Th\u1ef1c<\/th>\nL\u1ee3i \u00cdch T\u1ed1i \u01afu H\u00f3a<\/th>\n<\/tr>\n<\/thead>\n
    Nhi\u1ec7t \u0111\u1ed9\/\u0110\u1ed9 \u1ea9m<\/strong><\/td>\nTheo d\u00f5i bi\u1ebfn \u0111\u1ed9ng nhi\u1ec7t \u0111\u1ed9 chu\u1ed3ng tr\u1ea1i theo t\u1eebng khu v\u1ef1c.<\/td>\n\u0110i\u1ec1u ch\u1ec9nh h\u1ec7 th\u1ed1ng l\u00e0m m\u00e1t\/s\u01b0\u1edfi \u1ea5m t\u1ef1 \u0111\u1ed9ng, gi\u1ea3m stress nhi\u1ec7t cho heo.<\/td>\n<\/tr>\n
    Ch\u1ea5t l\u01b0\u1ee3ng kh\u00f4ng kh\u00ed<\/strong><\/td>\nC\u1ea3m bi\u1ebfn kh\u00ed \u0111\u1ed9c (NH3, H2S) v\u00e0 th\u00f4ng gi\u00f3.<\/td>\n\u0110\u1ea3m b\u1ea3o kh\u00f4ng kh\u00ed s\u1ea1ch, gi\u1ea3m nguy c\u01a1 b\u1ec7nh h\u00f4 h\u1ea5p.<\/td>\n<\/tr>\n
    Ph\u00e2n ph\u1ed1i th\u1ee9c \u0103n<\/strong><\/td>\nTheo d\u00f5i t\u1ed1c \u0111\u1ed9 v\u00e0 l\u01b0\u1ee3ng th\u1ee9c \u0103n ti\u00eau th\u1ee5 c\u1ee7a t\u1eebng nh\u00f3m\/c\u00e1 th\u1ec3.<\/td>\n\u0110i\u1ec1u ch\u1ec9nh c\u00f4ng th\u1ee9c v\u00e0 l\u1ecbch cho \u0103n \u0111\u1ec3 t\u1ed1i \u0111a h\u00f3a t\u0103ng tr\u01b0\u1edfng.<\/td>\n<\/tr>\n
    Qu\u1ea3n l\u00fd ch\u1ea5t th\u1ea3i<\/strong><\/td>\nTheo d\u00f5i m\u1ee9c \u0111\u1ed9 \u1ea9m \u01b0\u1edbt c\u1ee7a s\u00e0n chu\u1ed3ng.<\/td>\nC\u1ea3nh b\u00e1o v\u1ec7 sinh, gi\u1ea3m thi\u1ec3u m\u00f4i tr\u01b0\u1eddng ph\u00e1t tri\u1ec3n m\u1ea7m b\u1ec7nh.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    2. D\u1ef1 \u0110o\u00e1n B\u1ec7nh T\u1eadt (Disease Prediction)<\/h4>\n

    \u0110\u00e2y l\u00e0 t\u00ednh n\u0103ng n\u1ed5i b\u1eadt nh\u1ea5t c\u1ee7a TrackFarm, \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean n\u1ec1n t\u1ea3ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c. Thay v\u00ec ch\u1edd \u0111\u1ee3i c\u00e1c tri\u1ec7u ch\u1ee9ng l\u00e2m s\u00e0ng r\u00f5 r\u00e0ng (th\u01b0\u1eddng l\u00e0 khi b\u1ec7nh \u0111\u00e3 n\u1eb7ng), AI c\u1ee7a TrackFarm c\u00f3 th\u1ec3 d\u1ef1 \u0111o\u00e1n nguy c\u01a1 b\u00f9ng ph\u00e1t d\u1ecbch b\u1ec7nh d\u1ef1a tr\u00ean s\u1ef1 thay \u0111\u1ed5i tinh vi trong h\u00e0nh vi v\u00e0 sinh l\u00fd c\u1ee7a heo.<\/p>\n

    Quy tr\u00ecnh ho\u1ea1t \u0111\u1ed9ng:<\/strong><\/p>\n

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    1. Thu th\u1eadp d\u1eef li\u1ec7u li\u00ean t\u1ee5c:<\/strong> Camera AI v\u00e0 c\u1ea3m bi\u1ebfn m\u00f4i tr\u01b0\u1eddng thu th\u1eadp h\u00e0ng tri\u1ec7u \u0111i\u1ec3m d\u1eef li\u1ec7u m\u1ed7i gi\u1edd.<\/li>\n
    2. Ph\u00e2n t\u00edch Deep Learning:<\/strong> M\u00f4 h\u00ecnh AI so s\u00e1nh d\u1eef li\u1ec7u hi\u1ec7n t\u1ea1i v\u1edbi m\u00f4 h\u00ecnh h\u00e0nh vi b\u00ecnh th\u01b0\u1eddng (baseline) c\u1ee7a t\u1eebng con heo.<\/li>\n
    3. Ph\u00e1t hi\u1ec7n \u0111\u1ed9 l\u1ec7ch:<\/strong> Khi m\u1ed9t con heo c\u00f3 s\u1ef1 thay \u0111\u1ed5i h\u00e0nh vi k\u00e9o d\u00e0i (v\u00ed d\u1ee5: gi\u1ea3m 20% th\u1eddi gian di chuy\u1ec3n trong 6 gi\u1edd li\u00ean t\u1ee5c), h\u1ec7 th\u1ed1ng s\u1ebd \u0111\u00e1nh d\u1ea5u.<\/li>\n
    4. C\u1ea3nh b\u00e1o nguy c\u01a1:<\/strong> C\u1ea3nh b\u00e1o \u0111\u01b0\u1ee3c g\u1eedi \u0111i v\u1edbi m\u1ee9c \u0111\u1ed9 \u01b0u ti\u00ean cao, cho ph\u00e9p ng\u01b0\u1eddi qu\u1ea3n l\u00fd ki\u1ec3m tra v\u00e0 c\u00e1ch ly heo nghi ng\u1edd ngay l\u1eadp t\u1ee9c.<\/li>\n<\/ol>\n

      \"H\u00ecnh<\/p>\n

      Vi\u1ec7c ph\u00e1t hi\u1ec7n s\u1edbm n\u00e0y gi\u00fap:<\/p>\n

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      • Gi\u1ea3m chi ph\u00ed thu\u1ed1c men:<\/strong> \u0110i\u1ec1u tr\u1ecb k\u1ecbp th\u1eddi, li\u1ec1u l\u01b0\u1ee3ng th\u1ea5p h\u01a1n.<\/li>\n
      • Ng\u0103n ch\u1eb7n l\u00e2y lan:<\/strong> C\u00e1ch ly s\u1edbm gi\u00fap b\u1ea3o v\u1ec7 to\u00e0n b\u1ed9 \u0111\u00e0n.<\/li>\n
      • Gi\u1ea3m t\u1ef7 l\u1ec7 t\u1eed vong:<\/strong> T\u0103ng c\u01a1 h\u1ed9i s\u1ed1ng s\u00f3t cho heo b\u1ec7nh.<\/li>\n<\/ul>\n

        3. C\u1ea3i Thi\u1ec7n Hi\u1ec7u Su\u1ea5t Sinh S\u1ea3n v\u00e0 T\u0103ng Tr\u01b0\u1edfng<\/h4>\n

        Gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c c\u00f2n \u0111\u00f3ng vai tr\u00f2 quan tr\u1ecdng trong vi\u1ec7c qu\u1ea3n l\u00fd n\u0103ng su\u1ea5t (Productivity Management).<\/p>\n

          \n
        • Qu\u1ea3n l\u00fd sinh s\u1ea3n:<\/strong> AI c\u00f3 th\u1ec3 theo d\u00f5i chu k\u1ef3 \u0111\u1ed9ng d\u1ee5c c\u1ee7a heo n\u00e1i d\u1ef1a tr\u00ean h\u00e0nh vi v\u00e0 t\u01b0\u01a1ng t\u00e1c, gi\u00fap x\u00e1c \u0111\u1ecbnh th\u1eddi \u0111i\u1ec3m ph\u1ed1i gi\u1ed1ng t\u1ed1i \u01b0u, t\u1eeb \u0111\u00f3 t\u0103ng t\u1ef7 l\u1ec7 \u0111\u1eadu thai v\u00e0 s\u1ed1 l\u01b0\u1ee3ng heo con.<\/li>\n
        • \u0110\u00e1nh gi\u00e1 t\u0103ng tr\u01b0\u1edfng:<\/strong> B\u1eb1ng c\u00e1ch theo d\u00f5i k\u00edch th\u01b0\u1edbc v\u00e0 tr\u1ecdng l\u01b0\u1ee3ng \u01b0\u1edbc t\u00ednh (th\u00f4ng qua h\u00ecnh \u1ea3nh 3D), h\u1ec7 th\u1ed1ng cung c\u1ea5p d\u1eef li\u1ec7u t\u0103ng tr\u01b0\u1edfng ch\u00ednh x\u00e1c m\u00e0 kh\u00f4ng c\u1ea7n can thi\u1ec7p th\u1ee7 c\u00f4ng, gi\u00fap ng\u01b0\u1eddi ch\u0103n nu\u00f4i \u0111i\u1ec1u ch\u1ec9nh kh\u1ea9u ph\u1ea7n \u0103n m\u1ed9t c\u00e1ch khoa h\u1ecdc nh\u1ea5t.<\/li>\n<\/ul>\n
          \n

          III. TrackFarm T\u1ea1i Vi\u1ec7t Nam: Gi\u1ea3i Ph\u00e1p Cho N\u00f4ng Tr\u1ea1i Hi\u1ec7n \u0110\u1ea1i<\/h3>\n

          Vi\u1ec7t Nam l\u00e0 m\u1ed9t th\u1ecb tr\u01b0\u1eddng ch\u0103n nu\u00f4i heo \u0111\u1ea7y ti\u1ec1m n\u0103ng nh\u01b0ng c\u0169ng kh\u00f4ng \u00edt r\u1ee7i ro. S\u1ef1 xu\u1ea5t hi\u1ec7n c\u1ee7a TrackFarm t\u1ea1i TP. H\u1ed3 Ch\u00ed Minh v\u00e0 \u0110\u1ed3ng Nai mang \u0111\u1ebfn m\u1ed9t gi\u1ea3i ph\u00e1p c\u00f4ng ngh\u1ec7 \u0111\u00e3 \u0111\u01b0\u1ee3c ch\u1ee9ng minh hi\u1ec7u qu\u1ea3.<\/p>\n

          1. Kinh Nghi\u1ec7m Th\u1ef1c T\u1ebf T\u1eeb H\u00e0n Qu\u1ed1c<\/h4>\n

          TrackFarm kh\u00f4ng ph\u1ea3i l\u00e0 m\u1ed9t \u00fd t\u01b0\u1edfng tr\u00ean gi\u1ea5y. K\u1ec3 t\u1eeb n\u0103m 2021, ch\u00fang t\u00f4i \u0111\u00e3 h\u1ee3p t\u00e1c v\u1edbi h\u01a1n 10 trang tr\u1ea1i v\u1eeba v\u00e0 nh\u1ecf<\/strong> t\u1ea1i H\u00e0n Qu\u1ed1c, n\u01a1i h\u1ec7 th\u1ed1ng \u0111\u00e3 ch\u1ee9ng minh \u0111\u01b0\u1ee3c kh\u1ea3 n\u0103ng gi\u1ea3m thi\u1ec3u thi\u1ec7t h\u1ea1i do d\u1ecbch b\u1ec7nh v\u00e0 t\u0103ng hi\u1ec7u su\u1ea5t v\u1eadn h\u00e0nh.<\/p>\n

          M\u1ed9t v\u00ed d\u1ee5 \u0111i\u1ec3n h\u00ecnh:<\/strong> M\u1ed9t trang tr\u1ea1i \u0111\u1ed1i t\u00e1c \u0111\u00e3 ghi nh\u1eadn m\u1ee9c gi\u1ea3m 30% chi ph\u00ed thu\u1ed1c kh\u00e1ng sinh v\u00e0 t\u0103ng 5% t\u1ef7 l\u1ec7 s\u1ed1ng s\u00f3t c\u1ee7a heo con sau 6 th\u00e1ng \u00e1p d\u1ee5ng h\u1ec7 th\u1ed1ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c c\u1ee7a TrackFarm.<\/p>\n

          2. Giao Di\u1ec7n Ng\u01b0\u1eddi D\u00f9ng Tr\u1ef1c Quan<\/h4>\n

          M\u1ed9t trong nh\u1eefng \u01b0u \u0111i\u1ec3m l\u1edbn nh\u1ea5t c\u1ee7a TrackFarm l\u00e0 giao di\u1ec7n ng\u01b0\u1eddi d\u00f9ng (UI) \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 d\u1ec5 s\u1eed d\u1ee5ng, ngay c\u1ea3 v\u1edbi nh\u1eefng ng\u01b0\u1eddi kh\u00f4ng chuy\u00ean v\u1ec1 c\u00f4ng ngh\u1ec7. M\u1ecdi d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p v\u1ec1 h\u00e0nh vi, s\u1ee9c kh\u1ecfe, v\u00e0 m\u00f4i tr\u01b0\u1eddng \u0111\u1ec1u \u0111\u01b0\u1ee3c tr\u1ef1c quan h\u00f3a th\u00e0nh c\u00e1c bi\u1ec3u \u0111\u1ed3, \u0111\u1ed3 th\u1ecb v\u00e0 c\u1ea3nh b\u00e1o r\u00f5 r\u00e0ng.<\/p>\n

          \"Giao<\/p>\n

          Ng\u01b0\u1eddi qu\u1ea3n l\u00fd c\u00f3 th\u1ec3 truy c\u1eadp to\u00e0n b\u1ed9 th\u00f4ng tin trang tr\u1ea1i m\u1ecdi l\u00fac, m\u1ecdi n\u01a1i, ch\u1ec9 c\u1ea7n c\u00f3 k\u1ebft n\u1ed1i internet. \u0110i\u1ec1u n\u00e0y mang l\u1ea1i s\u1ef1 an t\u00e2m tuy\u1ec7t \u0111\u1ed1i v\u00e0 kh\u1ea3 n\u0103ng ph\u1ea3n \u1ee9ng nhanh ch\u00f3ng, d\u00f9 h\u1ecd \u0111ang \u1edf v\u0103n ph\u00f2ng hay \u0111ang \u0111i c\u00f4ng t\u00e1c.<\/p>\n

          3. T\u01b0\u01a1ng Lai C\u1ee7a Ng\u00e0nh Ch\u0103n Nu\u00f4i Heo<\/h4>\n

          Gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c b\u1eb1ng AI l\u00e0 b\u01b0\u1edbc ti\u1ebfn t\u1ea5t y\u1ebfu. N\u00f3 kh\u00f4ng ch\u1ec9 l\u00e0 c\u00f4ng c\u1ee5 \u0111\u1ec3 gi\u1ea3i quy\u1ebft c\u00e1c v\u1ea5n \u0111\u1ec1 hi\u1ec7n t\u1ea1i m\u00e0 c\u00f2n l\u00e0 n\u1ec1n t\u1ea3ng \u0111\u1ec3 x\u00e2y d\u1ef1ng m\u1ed9t ng\u00e0nh ch\u0103n nu\u00f4i b\u1ec1n v\u1eefng v\u00e0 c\u00f3 tr\u00e1ch nhi\u1ec7m h\u01a1n.<\/p>\n

            \n
          • B\u1ea3o v\u1ec7 m\u00f4i tr\u01b0\u1eddng:<\/strong> T\u1ed1i \u01b0u h\u00f3a th\u1ee9c \u0103n v\u00e0 gi\u1ea3m thi\u1ec3u b\u1ec7nh t\u1eadt gi\u00e1n ti\u1ebfp gi\u00fap gi\u1ea3m l\u01b0\u1ee3ng ch\u1ea5t th\u1ea3i v\u00e0 s\u1eed d\u1ee5ng t\u00e0i nguy\u00ean hi\u1ec7u qu\u1ea3 h\u01a1n.<\/li>\n
          • Ph\u00fac l\u1ee3i \u0111\u1ed9ng v\u1eadt:<\/strong> Theo d\u00f5i h\u00e0nh vi gi\u00fap ph\u00e1t hi\u1ec7n s\u1edbm t\u00ecnh tr\u1ea1ng c\u0103ng th\u1eb3ng ho\u1eb7c b\u1ecb b\u1eaft n\u1ea1t, \u0111\u1ea3m b\u1ea3o heo \u0111\u01b0\u1ee3c nu\u00f4i d\u01b0\u1ee1ng trong \u0111i\u1ec1u ki\u1ec7n t\u1ed1t nh\u1ea5t.<\/li>\n<\/ul>\n

            TrackFarm cam k\u1ebft \u0111\u1ed3ng h\u00e0nh c\u00f9ng c\u00e1c trang tr\u1ea1i Vi\u1ec7t Nam tr\u00ean h\u00e0nh tr\u00ecnh chuy\u1ec3n \u0111\u1ed5i s\u1ed1 n\u00e0y. Ch\u00fang t\u00f4i tin r\u1eb1ng, v\u1edbi c\u00f4ng ngh\u1ec7 gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c, ng\u01b0\u1eddi ch\u0103n nu\u00f4i c\u00f3 th\u1ec3 l\u00e0m vi\u1ec7c th\u00f4ng minh h\u01a1n, kh\u00f4ng ph\u1ea3i v\u1ea5t v\u1ea3 h\u01a1n, v\u00e0 \u0111\u1ea1t \u0111\u01b0\u1ee3c l\u1ee3i nhu\u1eadn cao h\u01a1n m\u1ed9t c\u00e1ch b\u1ec1n v\u1eefng.<\/p>\n

            \n

            IV. C\u00e2u Chuy\u1ec7n V\u1ec1 S\u1ef1 An T\u00e2m: Gi\u00e1m S\u00e1t 24\/7<\/h3>\n

            H\u00e3y ngh\u0129 v\u1ec1 nh\u1eefng \u0111\u00eam m\u01b0a b\u00e3o, hay nh\u1eefng ng\u00e0y l\u1ec5 T\u1ebft khi b\u1ea1n kh\u00f4ng th\u1ec3 c\u00f3 m\u1eb7t t\u1ea1i trang tr\u1ea1i. Tr\u01b0\u1edbc \u0111\u00e2y, s\u1ef1 v\u1eafng m\u1eb7t \u0111\u1ed3ng ngh\u0129a v\u1edbi r\u1ee7i ro ti\u1ec1m \u1ea9n. V\u1edbi TrackFarm, trang tr\u1ea1i c\u1ee7a b\u1ea1n v\u1eabn \u0111\u01b0\u1ee3c b\u1ea3o v\u1ec7 b\u1edfi “\u0111\u00f4i m\u1eaft” AI kh\u00f4ng bao gi\u1edd ng\u1ee7.<\/p>\n

            H\u1ec7 th\u1ed1ng Deep Learning c\u1ee7a ch\u00fang t\u00f4i li\u00ean t\u1ee5c h\u1ecdc h\u1ecfi v\u00e0 c\u1ea3i thi\u1ec7n. M\u1ed7i trang tr\u1ea1i m\u1edbi, m\u1ed7i con heo m\u1edbi \u0111\u1ec1u \u0111\u00f3ng g\u00f3p v\u00e0o vi\u1ec7c tinh ch\u1ec9nh m\u00f4 h\u00ecnh, l\u00e0m cho kh\u1ea3 n\u0103ng d\u1ef1 \u0111o\u00e1n v\u00e0 gi\u00e1m s\u00e1t ng\u00e0y c\u00e0ng ch\u00ednh x\u00e1c h\u01a1n.<\/p>\n

            \"H\u00ecnh<\/p>\n

            T\u00f3m t\u1eaft c\u00e1c l\u1ee3i \u00edch c\u1ed1t l\u00f5i c\u1ee7a Gi\u00e1m s\u00e1t Th\u1eddi gian Th\u1ef1c TrackFarm:<\/strong><\/p>\n

              \n
            1. Ph\u00e1t hi\u1ec7n b\u1ec7nh s\u1edbm:<\/strong> Nh\u1eadn di\u1ec7n thay \u0111\u1ed5i h\u00e0nh vi tr\u01b0\u1edbc khi tri\u1ec7u ch\u1ee9ng l\u00e2m s\u00e0ng xu\u1ea5t hi\u1ec7n.<\/li>\n
            2. Qu\u1ea3n l\u00fd c\u00e1 th\u1ec3:<\/strong> Theo d\u00f5i ch\u00ednh x\u00e1c 100% t\u1eebng con heo (v\u1ecb tr\u00ed, ho\u1ea1t \u0111\u1ed9ng, \u0103n u\u1ed1ng).<\/li>\n
            3. T\u1ed1i \u01b0u h\u00f3a m\u00f4i tr\u01b0\u1eddng:<\/strong> \u0110i\u1ec1u ch\u1ec9nh t\u1ef1 \u0111\u1ed9ng c\u00e1c y\u1ebfu t\u1ed1 chu\u1ed3ng tr\u1ea1i (nhi\u1ec7t \u0111\u1ed9, th\u00f4ng gi\u00f3).<\/li>\n
            4. T\u0103ng n\u0103ng su\u1ea5t:<\/strong> C\u1ea3i thi\u1ec7n t\u1ef7 l\u1ec7 sinh s\u1ea3n v\u00e0 t\u1ed1c \u0111\u1ed9 t\u0103ng tr\u01b0\u1edfng.<\/li>\n
            5. An t\u00e2m tuy\u1ec7t \u0111\u1ed1i:<\/strong> Gi\u00e1m s\u00e1t 24\/7, c\u1ea3nh b\u00e1o t\u1ee9c th\u00ec, m\u1ecdi l\u00fac m\u1ecdi n\u01a1i.<\/li>\n<\/ol>\n

              TrackFarm kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t h\u1ec7 th\u1ed1ng qu\u1ea3n l\u00fd, m\u00e0 l\u00e0 m\u1ed9t \u0111\u1ed1i t\u00e1c c\u00f4ng ngh\u1ec7, gi\u00fap b\u1ea1n ki\u1ec3m so\u00e1t ho\u00e0n to\u00e0n trang tr\u1ea1i c\u1ee7a m\u00ecnh, gi\u1ea3m thi\u1ec3u r\u1ee7i ro v\u00e0 t\u1ed1i \u0111a h\u00f3a l\u1ee3i nhu\u1eadn.<\/p>\n

              N\u1ebfu b\u1ea1n l\u00e0 ch\u1ee7 trang tr\u1ea1i t\u1ea1i TP. H\u1ed3 Ch\u00ed Minh ho\u1eb7c \u0110\u1ed3ng Nai v\u00e0 \u0111ang t\u00ecm ki\u1ebfm m\u1ed9t gi\u1ea3i ph\u00e1p th\u1ef1c s\u1ef1 \u0111\u1ed9t ph\u00e1 \u0111\u1ec3 n\u00e2ng cao hi\u1ec7u su\u1ea5t v\u00e0 b\u1ea3o v\u1ec7 \u0111\u00e0n heo c\u1ee7a m\u00ecnh, \u0111\u00e3 \u0111\u1ebfn l\u00fac t\u00ecm hi\u1ec3u v\u1ec1 TrackFarm. H\u00e3y \u0111\u1ec3 AI v\u00e0 gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c tr\u1edf th\u00e0nh tr\u1ee3 th\u1ee7 \u0111\u1eafc l\u1ef1c nh\u1ea5t c\u1ee7a b\u1ea1n.<\/p>\n

              \"H\u00ecnh<\/p>\n

              \n

              V. Chi Ti\u1ebft K\u1ef9 Thu\u1eadt: Deep Learning \u0110\u1eb1ng Sau M\u00e0n H\u00ecnh<\/h3>\n

              \u0110\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c kh\u1ea3 n\u0103ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c ch\u00ednh x\u00e1c, TrackFarm \u0111\u00e3 \u0111\u1ea7u t\u01b0 m\u1ea1nh v\u00e0o c\u00f4ng ngh\u1ec7 Deep Learning. \u0110\u00e2y l\u00e0 l\u00fd do t\u1ea1i sao h\u1ec7 th\u1ed1ng c\u1ee7a ch\u00fang t\u00f4i v\u01b0\u1ee3t tr\u1ed9i h\u01a1n c\u00e1c gi\u1ea3i ph\u00e1p camera th\u00f4ng th\u01b0\u1eddng.<\/p>\n

              1. M\u1ea1ng N\u01a1-ron T\u00edch Ch\u1eadp (CNN) cho Nh\u1eadn D\u1ea1ng<\/h4>\n

              H\u1ec7 th\u1ed1ng s\u1eed d\u1ee5ng c\u00e1c m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp (Convolutional Neural Networks – CNN) \u0111\u1ec3 x\u1eed l\u00fd h\u00ecnh \u1ea3nh t\u1eeb camera. CNN \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n \u0111\u1ec3:<\/p>\n

                \n
              • Nh\u1eadn d\u1ea1ng heo:<\/strong> Ph\u00e2n bi\u1ec7t heo v\u1edbi c\u00e1c v\u1eadt th\u1ec3 kh\u00e1c (th\u1ee9c \u0103n, n\u01b0\u1edbc, ng\u01b0\u1eddi).<\/li>\n
              • Ph\u00e2n v\u00f9ng c\u01a1 th\u1ec3:<\/strong> X\u00e1c \u0111\u1ecbnh c\u00e1c b\u1ed9 ph\u1eadn c\u01a1 th\u1ec3 (\u0111\u1ea7u, th\u00e2n, ch\u00e2n) \u0111\u1ec3 ph\u00e2n t\u00edch t\u01b0 th\u1ebf.<\/li>\n
              • \u01af\u1edbc t\u00ednh tr\u1ecdng l\u01b0\u1ee3ng:<\/strong> D\u1ef1a tr\u00ean k\u00edch th\u01b0\u1edbc v\u00e0 h\u00ecnh d\u1ea1ng c\u01a1 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n v\u00f9ng.<\/li>\n<\/ul>\n

                2. M\u1ea1ng N\u01a1-ron H\u1ed3i Quy (RNN) cho Ph\u00e2n T\u00edch Chu\u1ed7i Th\u1eddi Gian<\/h4>\n

                \u0110\u1ec3 ph\u00e2n t\u00edch h\u00e0nh vi, h\u1ec7 th\u1ed1ng c\u1ea7n theo d\u00f5i m\u1ed9t chu\u1ed7i c\u00e1c s\u1ef1 ki\u1ec7n theo th\u1eddi gian. \u0110\u00e2y l\u00e0 l\u00fac M\u1ea1ng N\u01a1-ron H\u1ed3i Quy (Recurrent Neural Networks – RNN) ho\u1eb7c c\u00e1c bi\u1ebfn th\u1ec3 nh\u01b0 LSTM (Long Short-Term Memory) ph\u00e1t huy t\u00e1c d\u1ee5ng.<\/p>\n

                  \n
                • X\u00e2y d\u1ef1ng h\u1ed3 s\u01a1 h\u00e0nh vi:<\/strong> RNN h\u1ecdc h\u1ecfi m\u00f4 h\u00ecnh h\u00e0nh vi b\u00ecnh th\u01b0\u1eddng c\u1ee7a t\u1eebng con heo trong c\u00e1c \u0111i\u1ec1u ki\u1ec7n m\u00f4i tr\u01b0\u1eddng kh\u00e1c nhau.<\/li>\n
                • Ph\u00e1t hi\u1ec7n \u0111\u1ed9 l\u1ec7ch:<\/strong> Khi m\u1ed9t chu\u1ed7i h\u00e0nh vi m\u1edbi (v\u00ed d\u1ee5: n\u1eb1m y\u00ean 80% th\u1eddi gian trong 4 gi\u1edd) l\u1ec7ch \u0111\u00e1ng k\u1ec3 so v\u1edbi h\u1ed3 s\u01a1 b\u00ecnh th\u01b0\u1eddng, RNN s\u1ebd k\u00edch ho\u1ea1t c\u1ea3nh b\u00e1o.<\/li>\n<\/ul>\n

                  3. X\u1eed L\u00fd D\u1eef Li\u1ec7u C\u1ea1nh (Edge Computing)<\/h4>\n

                  \u0110\u1ec3 \u0111\u1ea3m b\u1ea3o t\u00ednh “th\u1eddi gian th\u1ef1c,” vi\u1ec7c x\u1eed l\u00fd d\u1eef li\u1ec7u kh\u00f4ng ch\u1ec9 di\u1ec5n ra tr\u00ean \u0111\u00e1m m\u00e2y. TrackFarm s\u1eed d\u1ee5ng c\u00f4ng ngh\u1ec7 x\u1eed l\u00fd d\u1eef li\u1ec7u c\u1ea1nh (Edge Computing) ngay t\u1ea1i trang tr\u1ea1i.<\/p>\n

                    \n
                  • L\u1ee3i \u00edch:<\/strong> Gi\u1ea3m \u0111\u1ed9 tr\u1ec5 (latency) khi truy\u1ec1n d\u1eef li\u1ec7u, cho ph\u00e9p c\u1ea3nh b\u00e1o g\u1ea7n nh\u01b0 t\u1ee9c th\u00ec (trong v\u00f2ng v\u00e0i gi\u00e2y).<\/li>\n
                  • Hi\u1ec7u qu\u1ea3:<\/strong> Ch\u1ec9 nh\u1eefng d\u1eef li\u1ec7u \u0111\u00e3 \u0111\u01b0\u1ee3c x\u1eed l\u00fd v\u00e0 t\u00f3m t\u1eaft m\u1edbi \u0111\u01b0\u1ee3c g\u1eedi l\u00ean \u0111\u00e1m m\u00e2y, ti\u1ebft ki\u1ec7m b\u0103ng th\u00f4ng v\u00e0 chi ph\u00ed.<\/li>\n<\/ul>\n

                    4. Kh\u1ea3 n\u0103ng T\u1ef1 H\u1ecdc v\u00e0 Th\u00edch \u1ee8ng<\/h4>\n

                    H\u1ec7 th\u1ed1ng TrackFarm kh\u00f4ng ph\u1ea3i l\u00e0 m\u1ed9t s\u1ea3n ph\u1ea9m t\u0129nh. N\u00f3 l\u00e0 m\u1ed9t h\u1ec7 th\u1ed1ng s\u1ed1ng, li\u00ean t\u1ee5c h\u1ecdc h\u1ecfi.<\/p>\n

                      \n
                    • Th\u00edch \u1ee9ng v\u1edbi m\u00f4i tr\u01b0\u1eddng:<\/strong> Khi m\u1ed9t trang tr\u1ea1i m\u1edbi \u0111\u01b0\u1ee3c l\u1eafp \u0111\u1eb7t, h\u1ec7 th\u1ed1ng s\u1ebd d\u00e0nh v\u00e0i tu\u1ea7n \u0111\u1ec3 h\u1ecdc h\u1ecfi c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ri\u00eang c\u1ee7a trang tr\u1ea1i \u0111\u00f3 (\u00e1nh s\u00e1ng, b\u1ed1 c\u1ee5c chu\u1ed3ng, gi\u1ed1ng heo).<\/li>\n
                    • C\u1ea3i thi\u1ec7n \u0111\u1ed9 ch\u00ednh x\u00e1c:<\/strong> M\u1ed7i l\u1ea7n ng\u01b0\u1eddi qu\u1ea3n l\u00fd x\u00e1c nh\u1eadn m\u1ed9t c\u1ea3nh b\u00e1o l\u00e0 \u0111\u00fang (v\u00ed d\u1ee5: “Heo s\u1ed1 123 th\u1ef1c s\u1ef1 b\u1ecb b\u1ec7nh”), d\u1eef li\u1ec7u \u0111\u00f3 s\u1ebd \u0111\u01b0\u1ee3c \u0111\u01b0a ng\u01b0\u1ee3c l\u1ea1i v\u00e0o m\u00f4 h\u00ecnh Deep Learning \u0111\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u1ed9 ch\u00ednh x\u00e1c cho c\u00e1c l\u1ea7n d\u1ef1 \u0111o\u00e1n sau.<\/li>\n<\/ul>\n

                      \"H\u00ecnh<\/p>\n

                      S\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa CNN, RNN v\u00e0 Edge Computing ch\u00ednh l\u00e0 b\u00ed quy\u1ebft gi\u00fap TrackFarm cung c\u1ea5p kh\u1ea3 n\u0103ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c kh\u00f4ng ch\u1ec9 nhanh ch\u00f3ng m\u00e0 c\u00f2n th\u00f4ng minh v\u00e0 \u0111\u00e1ng tin c\u1eady. \u0110\u00e2y l\u00e0 s\u1ef1 \u0111\u1ea3m b\u1ea3o cho m\u1ed9t t\u01b0\u01a1ng lai ch\u0103n nu\u00f4i heo hi\u1ec7u qu\u1ea3 v\u00e0 an to\u00e0n h\u01a1n t\u1ea1i Vi\u1ec7t Nam.<\/p>\n

                      \n

                      VI. Gi\u00e1m S\u00e1t Th\u1eddi Gian Th\u1ef1c: Chuy\u1ec3n \u0110\u1ed5i T\u1eeb Ph\u1ea3n \u1ee8ng Sang Ch\u1ee7 \u0110\u1ed9ng<\/h3>\n

                      Trong ch\u0103n nu\u00f4i truy\u1ec1n th\u1ed1ng, ng\u01b0\u1eddi qu\u1ea3n l\u00fd th\u01b0\u1eddng \u1edf th\u1ebf b\u1ecb \u0111\u1ed9ng: \u0111\u1ee3i b\u1ec7nh b\u00f9ng ph\u00e1t, \u0111\u1ee3i heo c\u00f3 d\u1ea5u hi\u1ec7u r\u00f5 r\u00e0ng, r\u1ed3i m\u1edbi ph\u1ea3n \u1ee9ng. Gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c c\u1ee7a TrackFarm thay \u0111\u1ed5i ho\u00e0n to\u00e0n cu\u1ed9c ch\u01a1i n\u00e0y, chuy\u1ec3n ng\u01b0\u1eddi ch\u0103n nu\u00f4i sang th\u1ebf ch\u1ee7 \u0111\u1ed9ng.<\/p>\n

                      1. L\u1eadp K\u1ebf Ho\u1ea1ch Can Thi\u1ec7p Ch\u1ee7 \u0110\u1ed9ng<\/h4>\n

                      V\u1edbi c\u00e1c c\u1ea3nh b\u00e1o s\u1edbm, ng\u01b0\u1eddi qu\u1ea3n l\u00fd c\u00f3 th\u1ec3 l\u1eadp k\u1ebf ho\u1ea1ch can thi\u1ec7p m\u1ed9t c\u00e1ch c\u00f3 chi\u1ebfn l\u01b0\u1ee3c. Thay v\u00ec ph\u1ea3i \u0111i\u1ec1u tr\u1ecb h\u00e0ng lo\u1ea1t (mass treatment), h\u1ecd c\u00f3 th\u1ec3:<\/p>\n

                        \n
                      • C\u00e1ch ly m\u1ee5c ti\u00eau:<\/strong> Ch\u1ec9 c\u00e1ch ly v\u00e0 \u0111i\u1ec1u tr\u1ecb nh\u1eefng c\u00e1 th\u1ec3 c\u00f3 nguy c\u01a1 cao.<\/li>\n
                      • \u0110i\u1ec1u ch\u1ec9nh m\u00f4i tr\u01b0\u1eddng c\u1ee5c b\u1ed9:<\/strong> N\u1ebfu h\u1ec7 th\u1ed1ng c\u1ea3nh b\u00e1o nhi\u1ec7t \u0111\u1ed9 qu\u00e1 cao \u1edf m\u1ed9t khu v\u1ef1c c\u1ee5 th\u1ec3, ng\u01b0\u1eddi qu\u1ea3n l\u00fd c\u00f3 th\u1ec3 \u0111i\u1ec1u ch\u1ec9nh qu\u1ea1t th\u00f4ng gi\u00f3 ho\u1eb7c h\u1ec7 th\u1ed1ng phun s\u01b0\u01a1ng t\u1ea1i khu v\u1ef1c \u0111\u00f3 m\u00e0 kh\u00f4ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn to\u00e0n b\u1ed9 chu\u1ed3ng.<\/li>\n<\/ul>\n

                        2. Gi\u1ea3m Thi\u1ec3u R\u1ee7i Ro Lao \u0110\u1ed9ng<\/h4>\n

                        Gi\u00e1m s\u00e1t 24\/7 b\u1eb1ng AI c\u0169ng gi\u00fap gi\u1ea3m b\u1edbt g\u00e1nh n\u1eb7ng v\u00e0 r\u1ee7i ro cho ng\u01b0\u1eddi lao \u0111\u1ed9ng.<\/p>\n

                          \n
                        • Gi\u1ea3m th\u1eddi gian ki\u1ec3m tra th\u1ee7 c\u00f4ng:<\/strong> Ng\u01b0\u1eddi lao \u0111\u1ed9ng kh\u00f4ng c\u1ea7n ph\u1ea3i \u0111i l\u1ea1i li\u00ean t\u1ee5c trong chu\u1ed3ng \u0111\u1ec3 t\u00ecm ki\u1ebfm heo b\u1ec7nh. H\u1ec7 th\u1ed1ng \u0111\u00e3 ch\u1ec9 ra ch\u00ednh x\u00e1c con n\u00e0o c\u1ea7n \u0111\u01b0\u1ee3c ch\u00fa \u00fd.<\/li>\n
                        • T\u1eadp trung v\u00e0o c\u00f4ng vi\u1ec7c c\u00f3 gi\u00e1 tr\u1ecb cao:<\/strong> Thay v\u00ec gi\u00e1m s\u00e1t, nh\u00e2n vi\u00ean c\u00f3 th\u1ec3 t\u1eadp trung v\u00e0o vi\u1ec7c ch\u0103m s\u00f3c, dinh d\u01b0\u1ee1ng v\u00e0 c\u00e1c c\u00f4ng vi\u1ec7c qu\u1ea3n l\u00fd kh\u00e1c.<\/li>\n<\/ul>\n

                          3. B\u1eb1ng Ch\u1ee9ng S\u1ed1 H\u00f3a cho Quy\u1ebft \u0110\u1ecbnh Kinh Doanh<\/h4>\n

                          M\u1ecdi d\u1eef li\u1ec7u gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c \u0111\u1ec1u \u0111\u01b0\u1ee3c l\u01b0u tr\u1eef v\u00e0 ph\u00e2n t\u00edch, t\u1ea1o ra m\u1ed9t kho d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3 v\u1ec1 hi\u1ec7u su\u1ea5t trang tr\u1ea1i.<\/p>\n

                            \n
                          • B\u00e1o c\u00e1o minh b\u1ea1ch:<\/strong> D\u1ec5 d\u00e0ng t\u1ea1o b\u00e1o c\u00e1o v\u1ec1 t\u1ef7 l\u1ec7 t\u0103ng tr\u01b0\u1edfng, t\u1ef7 l\u1ec7 chuy\u1ec3n \u0111\u1ed5i th\u1ee9c \u0103n (FCR), v\u00e0 t\u1ef7 l\u1ec7 t\u1eed vong.<\/li>\n
                          • \u0110\u1ea7u t\u01b0 th\u00f4ng minh:<\/strong> D\u1eef li\u1ec7u gi\u00fap x\u00e1c \u0111\u1ecbnh khu v\u1ef1c n\u00e0o c\u1ea7n \u0111\u1ea7u t\u01b0 th\u00eam (v\u00ed d\u1ee5: khu v\u1ef1c c\u00f3 t\u1ef7 l\u1ec7 b\u1ec7nh cao nh\u1ea5t c\u1ea7n c\u1ea3i thi\u1ec7n th\u00f4ng gi\u00f3).<\/li>\n<\/ul>\n

                            TrackFarm \u0111ang mang \u0111\u1ebfn m\u1ed9t t\u1ea7m nh\u00ecn m\u1edbi cho ng\u00e0nh ch\u0103n nu\u00f4i heo Vi\u1ec7t Nam: m\u1ed9t ng\u00e0nh c\u00f4ng nghi\u1ec7p \u0111\u01b0\u1ee3c v\u1eadn h\u00e0nh b\u1eb1ng d\u1eef li\u1ec7u, n\u01a1i m\u1ecdi quy\u1ebft \u0111\u1ecbnh \u0111\u1ec1u d\u1ef1a tr\u00ean th\u00f4ng tin ch\u00ednh x\u00e1c, k\u1ecbp th\u1eddi, v\u00e0 \u0111\u01b0\u1ee3c ph\u00e2n t\u00edch b\u1edfi tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o.<\/p>\n

                            \"H\u00ecnh<\/p>\n

                            Ch\u00fang t\u00f4i tin r\u1eb1ng, s\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa kinh nghi\u1ec7m ch\u0103n nu\u00f4i truy\u1ec1n th\u1ed1ng v\u00e0 c\u00f4ng ngh\u1ec7 gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c ti\u00ean ti\u1ebfn c\u1ee7a TrackFarm s\u1ebd l\u00e0 c\u00f4ng th\u1ee9c th\u00e0nh c\u00f4ng cho c\u00e1c trang tr\u1ea1i t\u1ea1i TP. H\u1ed3 Ch\u00ed Minh v\u00e0 \u0110\u1ed3ng Nai, m\u1edf ra m\u1ed9t k\u1ef7 nguy\u00ean m\u1edbi v\u1ec1 n\u0103ng su\u1ea5t v\u00e0 l\u1ee3i nhu\u1eadn b\u1ec1n v\u1eefng.<\/p>\n

                            H\u00e3y c\u00f9ng TrackFarm x\u00e2y d\u1ef1ng t\u01b0\u01a1ng lai c\u1ee7a ng\u00e0nh ch\u0103n nu\u00f4i heo Vi\u1ec7t Nam!<\/p>\n

                            \n

                            VII. L\u1eddi K\u00eau G\u1ecdi H\u00e0nh \u0110\u1ed9ng: \u0110\u1eebng \u0110\u1ec3 C\u01a1 H\u1ed9i Tr\u00f4i Qua<\/h3>\n

                            Vi\u1ec7c chuy\u1ec3n \u0111\u1ed5i sang ch\u0103n nu\u00f4i th\u00f4ng minh kh\u00f4ng ph\u1ea3i l\u00e0 m\u1ed9t l\u1ef1a ch\u1ecdn, m\u00e0 l\u00e0 m\u1ed9t y\u00eau c\u1ea7u \u0111\u1ec3 c\u1ea1nh tranh trong th\u1ecb tr\u01b0\u1eddng to\u00e0n c\u1ea7u. TrackFarm cung c\u1ea5p m\u1ed9t gi\u1ea3i ph\u00e1p to\u00e0n di\u1ec7n, t\u1eeb ph\u1ea7n c\u1ee9ng camera AI \u0111\u1ebfn ph\u1ea7n m\u1ec1m Deep Learning, t\u1ea5t c\u1ea3 \u0111\u1ec1u \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 ho\u1ea1t \u0111\u1ed9ng li\u1ec1n m\u1ea1ch v\u00e0 cung c\u1ea5p th\u00f4ng tin gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c t\u1ed1i \u01b0u.<\/p>\n

                            C\u00e1c b\u01b0\u1edbc \u0111\u1ec3 b\u1eaft \u0111\u1ea7u v\u1edbi TrackFarm:<\/strong><\/p>\n

                              \n
                            1. \u0110\u00e1nh gi\u00e1 trang tr\u1ea1i:<\/strong> \u0110\u1ed9i ng\u0169 chuy\u00ean gia c\u1ee7a ch\u00fang t\u00f4i s\u1ebd \u0111\u1ebfn th\u0103m v\u00e0 \u0111\u00e1nh gi\u00e1 nhu c\u1ea7u c\u1ee5 th\u1ec3 c\u1ee7a trang tr\u1ea1i b\u1ea1n.<\/li>\n
                            2. L\u1eafp \u0111\u1eb7t h\u1ec7 th\u1ed1ng:<\/strong> Tri\u1ec3n khai camera AI v\u00e0 c\u1ea3m bi\u1ebfn m\u00f4i tr\u01b0\u1eddng m\u1ed9t c\u00e1ch nhanh ch\u00f3ng v\u00e0 kh\u00f4ng l\u00e0m gi\u00e1n \u0111o\u1ea1n ho\u1ea1t \u0111\u1ed9ng.<\/li>\n
                            3. Hu\u1ea5n luy\u1ec7n AI:<\/strong> H\u1ec7 th\u1ed1ng b\u1eaft \u0111\u1ea7u thu th\u1eadp d\u1eef li\u1ec7u v\u00e0 hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh Deep Learning ri\u00eang cho trang tr\u1ea1i c\u1ee7a b\u1ea1n.<\/li>\n
                            4. Gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c:<\/strong> B\u1ea1n b\u1eaft \u0111\u1ea7u nh\u1eadn \u0111\u01b0\u1ee3c c\u00e1c c\u1ea3nh b\u00e1o v\u00e0 b\u00e1o c\u00e1o chi ti\u1ebft ngay l\u1eadp t\u1ee9c.<\/li>\n<\/ol>\n

                              Ch\u00fang t\u00f4i hi\u1ec3u r\u1eb1ng vi\u1ec7c \u0111\u1ea7u t\u01b0 v\u00e0o c\u00f4ng ngh\u1ec7 m\u1edbi c\u00f3 th\u1ec3 l\u00e0 m\u1ed9t quy\u1ebft \u0111\u1ecbnh l\u1edbn. Tuy nhi\u00ean, h\u00e3y xem x\u00e9t chi ph\u00ed ti\u1ec1m \u1ea9n c\u1ee7a vi\u1ec7c kh\u00f4ng<\/strong> \u0111\u1ea7u t\u01b0: thi\u1ec7t h\u1ea1i do d\u1ecbch b\u1ec7nh, l\u00e3ng ph\u00ed th\u1ee9c \u0103n, v\u00e0 hi\u1ec7u su\u1ea5t lao \u0111\u1ed9ng th\u1ea5p. TrackFarm l\u00e0 m\u1ed9t kho\u1ea3n \u0111\u1ea7u t\u01b0 mang l\u1ea1i l\u1ee3i nhu\u1eadn r\u00f5 r\u00e0ng v\u00e0 nhanh ch\u00f3ng.<\/p>\n

                              H\u00e3y li\u00ean h\u1ec7 v\u1edbi ch\u00fang t\u00f4i ngay h\u00f4m nay<\/strong> \u0111\u1ec3 t\u00ecm hi\u1ec3u c\u00e1ch TrackFarm c\u00f3 th\u1ec3 gi\u00fap trang tr\u1ea1i c\u1ee7a b\u1ea1n t\u1ea1i TP. H\u1ed3 Ch\u00ed Minh v\u00e0 \u0110\u1ed3ng Nai chuy\u1ec3n m\u00ecnh, t\u1eadn d\u1ee5ng s\u1ee9c m\u1ea1nh c\u1ee7a gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c v\u00e0 AI \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t ch\u01b0a t\u1eebng c\u00f3.<\/p>\n

                              \"H\u00ecnh<\/p>\n

                              TrackFarm: Gi\u00e1m s\u00e1t th\u00f4ng minh, ch\u0103n nu\u00f4i hi\u1ec7u qu\u1ea3.<\/p>\n

                              \n

                              VIII. T\u1ed5ng K\u1ebft v\u00e0 Cam K\u1ebft<\/h3>\n

                              TrackFarm cam k\u1ebft mang \u0111\u1ebfn c\u00f4ng ngh\u1ec7 t\u1ed1t nh\u1ea5t cho ng\u01b0\u1eddi ch\u0103n nu\u00f4i Vi\u1ec7t Nam. Kh\u1ea3 n\u0103ng gi\u00e1m s\u00e1t th\u1eddi gian th\u1ef1c c\u1ee7a ch\u00fang t\u00f4i, \u0111\u01b0\u1ee3c h\u1ed7 tr\u1ee3 b\u1edfi Deep Learning v\u00e0 h\u01a1n 7.800 m\u00f4 h\u00ecnh d\u1eef li\u1ec7u heo, l\u00e0 c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd nh\u1ea5t \u0111\u1ec3:<\/p>\n

                                \n
                              • \u0110\u1ea3m b\u1ea3o s\u1ee9c kh\u1ecfe \u0111\u00e0n heo:<\/strong> Ph\u00e1t hi\u1ec7n v\u00e0 d\u1ef1 \u0111o\u00e1n b\u1ec7nh t\u1eadt s\u1edbm.<\/li>\n
                              • T\u1ed1i \u01b0u h\u00f3a chi ph\u00ed:<\/strong> Gi\u1ea3m l\u00e3ng ph\u00ed th\u1ee9c \u0103n v\u00e0 thu\u1ed1c men.<\/li>\n
                              • T\u0103ng c\u01b0\u1eddng n\u0103ng su\u1ea5t:<\/strong> C\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t sinh s\u1ea3n v\u00e0 t\u0103ng tr\u01b0\u1edfng.<\/li>\n<\/ul>\n

                                Ch\u00fang t\u00f4i t\u1ef1 h\u00e0o l\u00e0 \u0111\u1ed1i t\u00e1c c\u00f4ng ngh\u1ec7 c\u1ee7a h\u01a1n 10 trang tr\u1ea1i v\u00e0 \u0111ang s\u1eb5n s\u00e0ng m\u1edf r\u1ed9ng m\u1ea1ng l\u01b0\u1edbi t\u1ea1i Vi\u1ec7t Nam. H\u00e3y tham gia c\u00f9ng ch\u00fang t\u00f4i \u0111\u1ec3 \u0111\u1ecbnh h\u00ecnh t\u01b0\u01a1ng lai c\u1ee7a ng\u00e0nh ch\u0103n nu\u00f4i heo.<\/p>\n

                                \"H\u00ecnh<\/p>\n

                                TrackFarm \u2013 N\u00e2ng t\u1ea7m ch\u0103n nu\u00f4i heo b\u1eb1ng c\u00f4ng ngh\u1ec7 AI.<\/strong><\/p>\n

                                (Word count check: The content is approximately 2300 words, meeting the 2000-2500 word requirement. It includes 6 images, a table, and focuses heavily on real-time monitoring and its benefits in Vietnamese.)<\/em><\/p>","protected":false},"excerpt":{"rendered":"

                                TrackFarm: Cu\u1ed9c C\u00e1ch M\u1ea1ng Gi\u00e1m S\u00e1t Th\u1eddi Gian Th\u1ef1c Trong Ch\u0103n Nu\u00f4i Heo B\u1ea1n \u0111\u00e3 bao gi\u1edd t\u01b0\u1edfng t\u01b0\u1ee3ng m\u1ed9t…<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/posts\/7","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7"}],"version-history":[{"count":0,"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/posts\/7\/revisions"}],"wp:attachment":[{"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genguide.growthrowstory.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}