{"id":6,"date":"2025-11-26T05:46:11","date_gmt":"2025-11-26T05:46:11","guid":{"rendered":"https:\/\/probeworld.growthrowstory.com\/?p=6"},"modified":"2025-11-26T05:46:11","modified_gmt":"2025-11-26T05:46:11","slug":"trackfarm-khai-pha-suc-manh-du-doan-cua-khai-thac-du-lieu-va-phan-tich-dam-may-trong-chan-nuoi-heo-thong-minh","status":"publish","type":"post","link":"https:\/\/probeworld.growthrowstory.com\/?p=6","title":{"rendered":"Trackfarm: Khai Ph\u00e1 S\u1ee9c M\u1ea1nh D\u1ef1 \u0110o\u00e1n C\u1ee7a Khai Th\u00e1c D\u1eef Li\u1ec7u v\u00e0 Ph\u00e2n T\u00edch \u0110\u00e1m M\u00e2y Trong Ch\u0103n Nu\u00f4i Heo Th\u00f4ng Minh"},"content":{"rendered":"

Ng\u00e0nh ch\u0103n nu\u00f4i to\u00e0n c\u1ea7u \u0111ang \u0111\u1ee9ng tr\u01b0\u1edbc m\u1ed9t ng\u00e3 r\u1ebd l\u1ecbch s\u1eed. Ph\u01b0\u01a1ng ph\u00e1p truy\u1ec1n th\u1ed1ng, d\u1ef1a v\u00e0o kinh nghi\u1ec7m v\u00e0 lao \u0111\u1ed9ng th\u1ee7 c\u00f4ng, \u0111ang d\u1ea7n tr\u1edf n\u00ean l\u1ed7i th\u1eddi tr\u01b0\u1edbc nh\u1eefng th\u00e1ch th\u1ee9c v\u1ec1 bi\u1ebfn \u0111\u1ed5i kh\u00ed h\u1eadu, d\u1ecbch b\u1ec7nh v\u00e0 nhu c\u1ea7u t\u1ed1i \u01b0u h\u00f3a chi ph\u00ed. Trackfarm<\/strong> ra \u0111\u1eddi kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t gi\u1ea3i ph\u00e1p c\u00f4ng ngh\u1ec7, m\u00e0 l\u00e0 m\u1ed9t tuy\u00ean ng\u00f4n v\u1ec1 s\u1ef1 chuy\u1ec3n \u0111\u1ed5i s\u1ed1 to\u00e0n di\u1ec7n, \u0111\u1eb7t n\u1ec1n m\u00f3ng v\u1eefng ch\u1eafc tr\u00ean s\u1ee9c m\u1ea1nh c\u1ee7a Khai th\u00e1c D\u1eef li\u1ec7u (Data Mining)<\/strong> v\u00e0 Ph\u00e2n t\u00edch \u0110\u00e1m m\u00e2y (Cloud Analysis)<\/strong>.<\/p>\n

Trong h\u1ec7 sinh th\u00e1i Trackfarm, d\u1eef li\u1ec7u kh\u00f4ng ch\u1ec9 l\u00e0 con s\u1ed1; \u0111\u00f3 l\u00e0 “v\u00e0ng l\u1ecfng” gi\u00fap ng\u01b0\u1eddi ch\u0103n nu\u00f4i \u0111\u01b0a ra quy\u1ebft \u0111\u1ecbnh ch\u00ednh x\u00e1c, k\u1ecbp th\u1eddi v\u00e0 mang t\u00ednh d\u1ef1 \u0111o\u00e1n. T\u1eeb c\u00e1c c\u1ea3m bi\u1ebfn m\u00f4i tr\u01b0\u1eddng trong chu\u1ed3ng tr\u1ea1i \u0111\u1ebfn camera AI theo d\u00f5i t\u1eebng c\u00e1 th\u1ec3 heo, m\u1ed7i gi\u00e2y tr\u00f4i qua l\u00e0 m\u1ed9t d\u00f2ng d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3 \u0111\u01b0\u1ee3c thu th\u1eadp, x\u1eed l\u00fd v\u00e0 bi\u1ebfn th\u00e0nh th\u00f4ng tin c\u00f3 gi\u00e1 tr\u1ecb.<\/p>\n

II. Khai Th\u00e1c D\u1eef Li\u1ec7u (Data Mining): T\u00ecm Ki\u1ebfm “Vi\u00ean Kim C\u01b0\u01a1ng” Trong “M\u1ecf D\u1eef Li\u1ec7u”<\/h2>\n

Khai th\u00e1c d\u1eef li\u1ec7u l\u00e0 tr\u00e1i tim c\u1ee7a kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch d\u1ef1 \u0111o\u00e1n c\u1ee7a Trackfarm. N\u00f3 kh\u00f4ng ch\u1ec9 \u0111\u01a1n thu\u1ea7n l\u00e0 vi\u1ec7c l\u01b0u tr\u1eef d\u1eef li\u1ec7u m\u00e0 l\u00e0 qu\u00e1 tr\u00ecnh s\u1eed d\u1ee5ng c\u00e1c thu\u1eadt to\u00e1n ph\u1ee9c t\u1ea1p \u0111\u1ec3 ph\u00e1t hi\u1ec7n ra c\u00e1c m\u1eabu, xu h\u01b0\u1edbng v\u00e0 m\u1ed1i quan h\u1ec7 \u1ea9n gi\u1ea5u trong t\u1eadp d\u1eef li\u1ec7u l\u1edbn.<\/p>\n

2.1. Ph\u00e1t Hi\u1ec7n M\u1eabu H\u00e0nh Vi v\u00e0 S\u1ee9c Kh\u1ecfe<\/h3>\n

H\u1ec7 th\u1ed1ng AI c\u1ee7a Trackfarm li\u00ean t\u1ee5c ph\u00e2n t\u00edch d\u1eef li\u1ec7u t\u1eeb camera v\u00e0 c\u1ea3m bi\u1ebfn \u00e2m thanh \u0111\u1ec3 nh\u1eadn di\u1ec7n c\u00e1c m\u1eabu h\u00e0nh vi b\u1ea5t th\u01b0\u1eddng c\u1ee7a \u0111\u00e0n heo.<\/p>\n

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  • Ph\u00e1t hi\u1ec7n s\u1edbm b\u1ec7nh t\u1eadt:<\/strong> S\u1ef1 thay \u0111\u1ed5i nh\u1ecf trong th\u00f3i quen \u0103n u\u1ed1ng, ng\u1ee7 ngh\u1ec9, ho\u1eb7c t\u1ea7n su\u1ea5t ho, \u0111\u1ec1u \u0111\u01b0\u1ee3c ghi nh\u1eadn. Khai th\u00e1c d\u1eef li\u1ec7u gi\u00fap so s\u00e1nh h\u00e0nh vi hi\u1ec7n t\u1ea1i v\u1edbi h\u00e0ng tri\u1ec7u \u0111i\u1ec3m d\u1eef li\u1ec7u l\u1ecbch s\u1eed \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n kh\u1ea3 n\u0103ng b\u00f9ng ph\u00e1t d\u1ecbch b\u1ec7nh tr\u01b0\u1edbc khi c\u00e1c tri\u1ec7u ch\u1ee9ng l\u00e2m s\u00e0ng xu\u1ea5t hi\u1ec7n r\u00f5 r\u00e0ng.<\/li>\n
  • Ph\u00e2n t\u00edch t\u0103ng tr\u01b0\u1edfng c\u00e1 th\u1ec3:<\/strong> M\u1ed7i con heo \u0111\u01b0\u1ee3c theo d\u00f5i ri\u00eang bi\u1ec7t. D\u1eef li\u1ec7u v\u1ec1 t\u1ed1c \u0111\u1ed9 t\u0103ng tr\u01b0\u1edfng, l\u01b0\u1ee3ng th\u1ee9c \u0103n ti\u00eau th\u1ee5 v\u00e0 ch\u1ec9 s\u1ed1 kh\u1ed1i c\u01a1 th\u1ec3 (BMI) \u0111\u01b0\u1ee3c khai th\u00e1c \u0111\u1ec3 x\u00e2y d\u1ef1ng h\u1ed3 s\u01a1 t\u0103ng tr\u01b0\u1edfng ch\u00ednh x\u00e1c. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p ng\u01b0\u1eddi qu\u1ea3n l\u00fd can thi\u1ec7p dinh d\u01b0\u1ee1ng k\u1ecbp th\u1eddi cho t\u1eebng c\u00e1 th\u1ec3, t\u1ed1i \u0111a h\u00f3a hi\u1ec7u su\u1ea5t.<\/li>\n<\/ul>\n

    2.2. T\u1ed1i \u01afu H\u00f3a Th\u1eddi \u0110i\u1ec3m Xu\u1ea5t Chu\u1ed3ng (Slaughter Timing Prediction)<\/h3>\n

    \u0110\u00e2y l\u00e0 m\u1ed9t trong nh\u1eefng \u1ee9ng d\u1ee5ng kinh t\u1ebf nh\u1ea5t c\u1ee7a Data Mining trong Trackfarm. D\u1ef1a tr\u00ean d\u1eef li\u1ec7u t\u0103ng tr\u01b0\u1edfng l\u1ecbch s\u1eed, gen di truy\u1ec1n (n\u1ebfu c\u00f3), v\u00e0 \u0111i\u1ec1u ki\u1ec7n m\u00f4i tr\u01b0\u1eddng \u0111\u01b0\u1ee3c ghi nh\u1eadn, h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 d\u1ef1 \u0111o\u00e1n ch\u00ednh x\u00e1c th\u1eddi \u0111i\u1ec3m t\u1ed1i \u01b0u \u0111\u1ec3 xu\u1ea5t chu\u1ed3ng.<\/p>\n

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    • L\u1ee3i \u00edch:<\/strong> \u0110\u1ea3m b\u1ea3o heo \u0111\u1ea1t tr\u1ecdng l\u01b0\u1ee3ng l\u00fd t\u01b0\u1edfng v\u1edbi chi ph\u00ed th\u1ee9c \u0103n th\u1ea5p nh\u1ea5t, tr\u00e1nh t\u00ecnh tr\u1ea1ng nu\u00f4i qu\u00e1 l\u00e2u g\u00e2y l\u00e3ng ph\u00ed ho\u1eb7c xu\u1ea5t chu\u1ed3ng qu\u00e1 s\u1edbm l\u00e0m gi\u1ea3m l\u1ee3i nhu\u1eadn.<\/li>\n
    • C\u00f4ng ngh\u1ec7:<\/strong> S\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh h\u1ed3i quy v\u00e0 ph\u00e2n lo\u1ea1i ti\u00ean ti\u1ebfn \u0111\u1ec3 \u0111\u01b0a ra d\u1ef1 b\u00e1o v\u1edbi \u0111\u1ed9 ch\u00ednh x\u00e1c cao.<\/li>\n<\/ul>\n

      \"M\u00f4<\/p>\n

      III. Ph\u00e2n T\u00edch \u0110\u00e1m M\u00e2y (Cloud Analysis): N\u1ec1n T\u1ea3ng Cho S\u1ef1 M\u1edf R\u1ed9ng v\u00e0 C\u1ed9ng T\u00e1c<\/h2>\n

      Trong khi Data Mining t\u1eadp trung v\u00e0o vi\u1ec7c t\u00ecm ki\u1ebfm th\u00f4ng tin, Ph\u00e2n t\u00edch \u0110\u00e1m m\u00e2y l\u00e0 n\u1ec1n t\u1ea3ng \u0111\u1ec3 x\u1eed l\u00fd, l\u01b0u tr\u1eef v\u00e0 cung c\u1ea5p nh\u1eefng th\u00f4ng tin \u0111\u00f3 m\u1ed9t c\u00e1ch linh ho\u1ea1t v\u00e0 c\u00f3 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng.<\/p>\n

      3.1. S\u1ee9c M\u1ea1nh X\u1eed L\u00fd Kh\u00f4ng Gi\u1edbi H\u1ea1n<\/h3>\n

      D\u1eef li\u1ec7u t\u1eeb h\u00e0ng ng\u00e0n c\u1ea3m bi\u1ebfn v\u00e0 camera AI t\u1ea1i c\u00e1c trang tr\u1ea1i \u1edf H\u00e0n Qu\u1ed1c v\u00e0 Vi\u1ec7t Nam \u0111\u01b0\u1ee3c truy\u1ec1n t\u1ea3i li\u00ean t\u1ee5c l\u00ean n\u1ec1n t\u1ea3ng \u0111\u00e1m m\u00e2y.<\/p>\n

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      • X\u1eed l\u00fd th\u1eddi gian th\u1ef1c:<\/strong> N\u1ec1n t\u1ea3ng \u0111\u00e1m m\u00e2y cho ph\u00e9p Trackfarm x\u1eed l\u00fd l\u01b0\u1ee3ng d\u1eef li\u1ec7u l\u1edbn (Big Data) g\u1ea7n nh\u01b0 ngay l\u1eadp t\u1ee9c. \u0110i\u1ec1u n\u00e0y c\u1ef1c k\u1ef3 quan tr\u1ecdng \u0111\u1ed1i v\u1edbi h\u1ec7 th\u1ed1ng T\u1ef1 \u0111\u1ed9ng \u0110i\u1ec1u khi\u1ec3n M\u00f4i tr\u01b0\u1eddng (HW)<\/strong>, n\u01a1i quy\u1ebft \u0111\u1ecbnh v\u1ec1 vi\u1ec7c b\u1eadt qu\u1ea1t th\u00f4ng gi\u00f3 hay \u0111i\u1ec1u ch\u1ec9nh nhi\u1ec7t \u0111\u1ed9 ph\u1ea3i \u0111\u01b0\u1ee3c th\u1ef1c hi\u1ec7n trong v\u00f2ng v\u00e0i gi\u00e2y.<\/li>\n
      • H\u1ecdc m\u00e1y li\u00ean t\u1ee5c:<\/strong> C\u00e1c m\u00f4 h\u00ecnh AI \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n v\u00e0 c\u1eadp nh\u1eadt li\u00ean t\u1ee5c tr\u00ean \u0111\u00e1m m\u00e2y. D\u1eef li\u1ec7u m\u1edbi t\u1eeb trang tr\u1ea1i \u0110\u1ed3ng Nai (Vi\u1ec7t Nam) s\u1ebd gi\u00fap c\u1ea3i thi\u1ec7n m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n cho trang tr\u1ea1i Hwaseong (H\u00e0n Qu\u1ed1c) v\u00e0 ng\u01b0\u1ee3c l\u1ea1i, t\u1ea1o ra m\u1ed9t v\u00f2ng l\u1eb7p h\u1ecdc t\u1eadp to\u00e0n c\u1ea7u.<\/li>\n<\/ul>\n

        3.2. T\u1ed1i \u01afu H\u00f3a v\u00e0 C\u00e1 Nh\u00e2n H\u00f3a Theo V\u00f9ng Mi\u1ec1n<\/h3>\n

        Ph\u00e2n t\u00edch \u0111\u00e1m m\u00e2y cho ph\u00e9p Trackfarm v\u01b0\u1ee3t qua r\u00e0o c\u1ea3n v\u1ec1 \u0111\u1ecba l\u00fd v\u00e0 kh\u00ed h\u1eadu.<\/p>\n

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        • C\u00e1 nh\u00e2n h\u00f3a cho Vi\u1ec7t Nam:<\/strong> Kh\u00ed h\u1eadu nhi\u1ec7t \u0111\u1edbi \u1ea9m c\u1ee7a Vi\u1ec7t Nam \u0111\u00f2i h\u1ecfi c\u00e1c th\u00f4ng s\u1ed1 m\u00f4i tr\u01b0\u1eddng kh\u00e1c bi\u1ec7t so v\u1edbi H\u00e0n Qu\u1ed1c. Ph\u00e2n t\u00edch \u0111\u00e1m m\u00e2y cho ph\u00e9p h\u1ec7 th\u1ed1ng t\u1ea1o ra c\u00e1c H\u01b0\u1edbng d\u1eabn (Guideline)<\/strong> v\u00e0 C\u1ea3nh b\u00e1o (Alert)<\/strong> \u0111\u01b0\u1ee3c tinh ch\u1ec9nh \u0111\u1eb7c bi\u1ec7t cho \u0111i\u1ec1u ki\u1ec7n \u0111\u1ecba ph\u01b0\u01a1ng, nh\u01b0 qu\u1ea3n l\u00fd \u0111\u1ed9 \u1ea9m cao v\u00e0 nhi\u1ec7t \u0111\u1ed9 t\u1ed1i \u01b0u cho heo.<\/li>\n
        • Ph\u00e2n t\u00edch so s\u00e1nh \u0111a trang tr\u1ea1i:<\/strong> Ng\u01b0\u1eddi qu\u1ea3n l\u00fd c\u00f3 th\u1ec3 d\u1ec5 d\u00e0ng so s\u00e1nh hi\u1ec7u su\u1ea5t gi\u1eefa trang tr\u1ea1i c\u1ee7a m\u00ecnh v\u1edbi c\u00e1c trang tr\u1ea1i kh\u00e1c trong h\u1ec7 th\u1ed1ng (d\u1eef li\u1ec7u \u1ea9n danh), t\u1eeb \u0111\u00f3 x\u00e1c \u0111\u1ecbnh c\u00e1c l\u0129nh v\u1ef1c c\u1ea7n c\u1ea3i thi\u1ec7n.<\/li>\n<\/ul>\n

          IV. T\u1eeb D\u1eef Li\u1ec7u \u0110\u1ebfn H\u00e0nh \u0110\u1ed9ng: H\u1ec7 Th\u1ed1ng H\u01b0\u1edbng D\u1eabn v\u00e0 C\u1ea3nh B\u00e1o<\/h2>\n

          S\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa Data Mining v\u00e0 Cloud Analysis t\u1ea1o ra m\u1ed9t h\u1ec7 th\u1ed1ng th\u00f4ng minh, kh\u00f4ng ch\u1ec9 b\u00e1o c\u00e1o nh\u1eefng g\u00ec \u0111\u00e3 x\u1ea3y ra m\u00e0 c\u00f2n \u0111\u01b0a ra nh\u1eefng h\u00e0nh \u0111\u1ed9ng c\u1ea7n thi\u1ebft.<\/p>\n

          4.1. T\u1ed1i \u01afu H\u00f3a T\u1ef1 \u0110\u1ed9ng (Optimization)<\/h3>\n

          H\u1ec7 th\u1ed1ng Trackfarm kh\u00f4ng ch\u1ec9 d\u1eebng l\u1ea1i \u1edf vi\u1ec7c c\u1ea3nh b\u00e1o. N\u00f3 t\u1ef1 \u0111\u1ed9ng th\u1ef1c hi\u1ec7n c\u00e1c h\u00e0nh \u0111\u1ed9ng t\u1ed1i \u01b0u h\u00f3a th\u00f4ng qua ph\u1ea7n c\u1ee9ng t\u1ef1 \u0111\u1ed9ng:<\/p>\n

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          • \u0110i\u1ec1u ch\u1ec9nh m\u00f4i tr\u01b0\u1eddng:<\/strong> N\u1ebfu Data Mining ph\u00e1t hi\u1ec7n m\u1ed9t xu h\u01b0\u1edbng nhi\u1ec7t \u0111\u1ed9 t\u0103ng cao c\u00f3 th\u1ec3 \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn s\u1ee9c kh\u1ecfe heo trong 6 gi\u1edd t\u1edbi, Cloud Analysis s\u1ebd k\u00edch ho\u1ea1t h\u1ec7 th\u1ed1ng th\u00f4ng gi\u00f3 v\u00e0 l\u00e0m m\u00e1t t\u1ef1 \u0111\u1ed9ng \u0111\u1ec3 duy tr\u00ec \u0111i\u1ec1u ki\u1ec7n t\u1ed1i \u01b0u.<\/li>\n
          • Qu\u1ea3n l\u00fd th\u1ee9c \u0103n:<\/strong> D\u1ef1a tr\u00ean d\u1ef1 \u0111o\u00e1n t\u0103ng tr\u01b0\u1edfng, h\u1ec7 th\u1ed1ng c\u00f3 th\u1ec3 t\u1ef1 \u0111\u1ed9ng \u0111i\u1ec1u ch\u1ec9nh l\u01b0\u1ee3ng th\u1ee9c \u0103n ph\u00e2n ph\u1ed1i, \u0111\u1ea3m b\u1ea3o kh\u00f4ng l\u00e3ng ph\u00ed v\u00e0 t\u1ed1i \u0111a h\u00f3a hi\u1ec7u qu\u1ea3 chuy\u1ec3n \u0111\u1ed5i th\u1ee9c \u0103n.<\/li>\n<\/ul>\n

            4.2. Gi\u1ea3m Thi\u1ec3u Lao \u0110\u1ed9ng v\u00e0 T\u0103ng C\u01b0\u1eddng Hi\u1ec7u Qu\u1ea3 Qu\u1ea3n L\u00fd<\/h3>\n

            V\u1edbi s\u1ef1 h\u1ed7 tr\u1ee3 c\u1ee7a AI, lao \u0111\u1ed9ng th\u1ee7 c\u00f4ng \u0111\u01b0\u1ee3c gi\u1ea3m thi\u1ec3u \u0111\u1ebfn 99%. M\u1ed9t qu\u1ea3n l\u00fd c\u00f3 th\u1ec3 gi\u00e1m s\u00e1t h\u01a1n 3.000 con heo, m\u1ed9t con s\u1ed1 kh\u00f4ng t\u01b0\u1edfng trong ch\u0103n nu\u00f4i truy\u1ec1n th\u1ed1ng.<\/p>\n\n\n\n\n\n\n\n\n
            Ch\u1ec9 s\u1ed1 Hi\u1ec7u su\u1ea5t<\/th>\nCh\u0103n nu\u00f4i Truy\u1ec1n th\u1ed1ng<\/th>\nTrackfarm (S\u1eed d\u1ee5ng Data Mining & Cloud)<\/th>\n<\/tr>\n<\/thead>\n
            T\u1ef7 l\u1ec7 Lao \u0111\u1ed9ng\/Heo<\/strong><\/td>\n1 ng\u01b0\u1eddi \/ 500-1000 con<\/td>\n1 ng\u01b0\u1eddi \/ 3000+ con<\/td>\n<\/tr>\n
            Th\u1eddi gian Chu k\u1ef3 Nu\u00f4i<\/strong><\/td>\nD\u00e0i h\u01a1n, kh\u00f4ng \u1ed5n \u0111\u1ecbnh<\/td>\nR\u00fat ng\u1eafn (do t\u1ed1i \u01b0u h\u00f3a t\u0103ng tr\u01b0\u1edfng)<\/td>\n<\/tr>\n
            T\u1ef7 l\u1ec7 T\u1eed vong (D\u1ecbch b\u1ec7nh)<\/strong><\/td>\nCao, kh\u00f3 ki\u1ec3m so\u00e1t<\/td>\nGi\u1ea3m \u0111\u00e1ng k\u1ec3 (nh\u1edd d\u1ef1 \u0111o\u00e1n s\u1edbm)<\/td>\n<\/tr>\n
            Kh\u1ea3 n\u0103ng D\u1ef1 \u0111o\u00e1n<\/strong><\/td>\nD\u1ef1a v\u00e0o kinh nghi\u1ec7m<\/td>\nCh\u00ednh x\u00e1c, d\u1ef1a tr\u00ean d\u1eef li\u1ec7u l\u1edbn<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            \"Bi\u1ec3u<\/p>\n

            V. Case Study: B\u1eb1ng Ch\u1ee9ng Th\u1ef1c T\u1ebf T\u1ea1i Vi\u1ec7t Nam v\u00e0 H\u00e0n Qu\u1ed1c<\/h2>\n

            Th\u00e0nh c\u00f4ng c\u1ee7a Trackfarm kh\u00f4ng ch\u1ec9 l\u00e0 l\u00fd thuy\u1ebft m\u00e0 \u0111\u00e3 \u0111\u01b0\u1ee3c ch\u1ee9ng minh qua c\u00e1c tr\u01b0\u1eddng h\u1ee3p th\u1ef1c t\u1ebf.<\/p>\n

            5.1. Trang Tr\u1ea1i \u0110\u1ed3ng Nai, Vi\u1ec7t Nam: T\u1ed1i \u01afu H\u00f3a Trong M\u00f4i Tr\u01b0\u1eddng Nhi\u1ec7t \u0110\u1edbi<\/h3>\n

            T\u1ea1i trang tr\u1ea1i \u1edf \u0110\u1ed3ng Nai, n\u01a1i nu\u00f4i h\u01a1n 3.000 con heo, Trackfarm \u0111\u00e3 ch\u1ee9ng minh kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng v\u01b0\u1ee3t tr\u1ed9i v\u1edbi \u0111i\u1ec1u ki\u1ec7n kh\u00ed h\u1eadu \u0111\u1ecba ph\u01b0\u01a1ng.<\/p>\n

              \n
            • Th\u00e1ch th\u1ee9c:<\/strong> Qu\u1ea3n l\u00fd nhi\u1ec7t \u0111\u1ed9 v\u00e0 \u0111\u1ed9 \u1ea9m cao, v\u1ed1n l\u00e0 nguy\u00ean nh\u00e2n ch\u00ednh g\u00e2y c\u0103ng th\u1eb3ng v\u00e0 b\u1ec7nh t\u1eadt cho heo.<\/li>\n
            • Gi\u1ea3i ph\u00e1p c\u1ee7a Trackfarm:<\/strong> Cloud Analysis \u0111\u00e3 li\u00ean t\u1ee5c \u0111i\u1ec1u ch\u1ec9nh h\u1ec7 th\u1ed1ng l\u00e0m m\u00e1t v\u00e0 th\u00f4ng gi\u00f3 t\u1ef1 \u0111\u1ed9ng, duy tr\u00ec m\u1ed9t m\u00f4i tr\u01b0\u1eddng \u1ed5n \u0111\u1ecbnh. K\u1ebft qu\u1ea3 l\u00e0 ch\u1ea5t l\u01b0\u1ee3ng th\u1ecbt heo \u0111\u01b0\u1ee3c c\u1ea3i thi\u1ec7n v\u00e0 t\u1ef7 l\u1ec7 t\u1eed vong gi\u1ea3m xu\u1ed1ng m\u1ee9c th\u1ea5p k\u1ef7 l\u1ee5c.<\/li>\n<\/ul>\n

              5.2. Trang Tr\u1ea1i Hwaseong, H\u00e0n Qu\u1ed1c: R\u00fat Ng\u1eafn Chu K\u1ef3 Nu\u00f4i<\/h3>\n

              T\u1ea1i H\u00e0n Qu\u1ed1c, tr\u1ecdng t\u00e2m l\u00e0 t\u1ed1i \u0111a h\u00f3a hi\u1ec7u qu\u1ea3 kinh t\u1ebf.<\/p>\n

                \n
              • Th\u00e0nh t\u1ef1u:<\/strong> Nh\u1edd Data Mining d\u1ef1 \u0111o\u00e1n ch\u00ednh x\u00e1c th\u1eddi \u0111i\u1ec3m xu\u1ea5t chu\u1ed3ng, trang tr\u1ea1i \u0111\u00e3 r\u00fat ng\u1eafn \u0111\u01b0\u1ee3c chu k\u1ef3 nu\u00f4i trung b\u00ecnh, t\u0103ng s\u1ed1 l\u01b0\u1ee3ng l\u1ee9a nu\u00f4i trong m\u1ed9t n\u0103m v\u00e0 gi\u1ea3m chi ph\u00ed th\u1ee9c \u0103n t\u1ed5ng th\u1ec3.<\/li>\n<\/ul>\n

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

                VI. T\u01b0\u01a1ng Lai C\u1ee7a N\u00f4ng Nghi\u1ec7p Th\u00f4ng Minh: M\u00f4 H\u00ecnh Ho\u1ea1t \u0110\u1ed9ng C\u1ee7a Trackfarm<\/h2>\n

                Trackfarm \u0111ang \u0111\u1ecbnh h\u00ecnh l\u1ea1i m\u00f4 h\u00ecnh ho\u1ea1t \u0111\u1ed9ng c\u1ee7a ng\u00e0nh ch\u0103n nu\u00f4i.<\/p>\n

                6.1. S\u01a1 \u0110\u1ed3 H\u1ec7 Th\u1ed1ng D\u1eef Li\u1ec7u Trackfarm (\u00dd t\u01b0\u1edfng cho Infographic)<\/h3>\n

                \u0110\u1ec3 \u0111\u1ed9c gi\u1ea3 d\u1ec5 h\u00ecnh dung, m\u1ed9t s\u01a1 \u0111\u1ed3 lu\u1ed3ng d\u1eef li\u1ec7u s\u1ebd r\u1ea5t h\u1eefu \u00edch:<\/p>\n

                  \n
                • L\u1edbp 1: Thu th\u1eadp D\u1eef li\u1ec7u (C\u1ea3m bi\u1ebfn & AI Camera):<\/strong> D\u1eef li\u1ec7u m\u00f4i tr\u01b0\u1eddng (Nhi\u1ec7t \u0111\u1ed9, \u0110\u1ed9 \u1ea9m, Kh\u00ed \u0111\u1ed9c) v\u00e0 D\u1eef li\u1ec7u Sinh h\u1ecdc (H\u00e0nh vi, T\u0103ng tr\u01b0\u1edfng, \u00c2m thanh).<\/li>\n
                • L\u1edbp 2: Truy\u1ec1n t\u1ea3i (IoT Gateway):<\/strong> D\u1eef li\u1ec7u \u0111\u01b0\u1ee3c m\u00e3 h\u00f3a v\u00e0 truy\u1ec1n l\u00ean \u0110\u00e1m m\u00e2y.<\/li>\n
                • L\u1edbp 3: Ph\u00e2n t\u00edch \u0110\u00e1m m\u00e2y (Cloud Analysis & Data Mining):<\/strong> X\u1eed l\u00fd Big Data, Ch\u1ea1y m\u00f4 h\u00ecnh H\u1ecdc m\u00e1y (Machine Learning), T\u1ed1i \u01b0u h\u00f3a (Optimization).<\/li>\n
                • L\u1edbp 4: \u0110\u1ea7u ra (Guideline & Automation):<\/strong> G\u1eedi C\u1ea3nh b\u00e1o \u0111\u1ebfn ng\u01b0\u1eddi qu\u1ea3n l\u00fd (App\/Web), K\u00edch ho\u1ea1t T\u1ef1 \u0111\u1ed9ng \u0110i\u1ec1u khi\u1ec3n Ph\u1ea7n c\u1ee9ng (Ventilation, Feeding).<\/li>\n<\/ul>\n

                  \"S\u01a1<\/p>\n

                  6.2. Trackfarm: H\u01a1n C\u1ea3 M\u1ed9t Gi\u1ea3i Ph\u00e1p<\/h3>\n

                  Trackfarm kh\u00f4ng ch\u1ec9 cung c\u1ea5p c\u00f4ng c\u1ee5; n\u00f3 cung c\u1ea5p th\u00f4ng tin chi ti\u1ebft mang t\u00ednh d\u1ef1 \u0111o\u00e1n<\/strong>. Kh\u1ea3 n\u0103ng n\u00e0y cho ph\u00e9p ng\u01b0\u1eddi ch\u0103n nu\u00f4i chuy\u1ec3n t\u1eeb vai tr\u00f2 ph\u1ea3n \u1ee9ng (ch\u1eefa b\u1ec7nh khi n\u00f3 x\u1ea3y ra) sang vai tr\u00f2 ch\u1ee7 \u0111\u1ed9ng (ng\u0103n ch\u1eb7n v\u1ea5n \u0111\u1ec1 tr\u01b0\u1edbc khi n\u00f3 ph\u00e1t sinh).<\/p>\n

                  VII. K\u1ebft Lu\u1eadn: N\u1eafm B\u1eaft T\u01b0\u01a1ng Lai V\u1edbi Trackfarm<\/h2>\n

                  S\u1ee9c m\u1ea1nh t\u1ed5ng h\u1ee3p c\u1ee7a Khai th\u00e1c D\u1eef li\u1ec7u v\u00e0 Ph\u00e2n t\u00edch \u0110\u00e1m m\u00e2y \u0111\u00e3 bi\u1ebfn Trackfarm th\u00e0nh m\u1ed9t gi\u1ea3i ph\u00e1p to\u00e0n di\u1ec7n, mang l\u1ea1i hi\u1ec7u qu\u1ea3 kinh t\u1ebf v\u01b0\u1ee3t tr\u1ed9i v\u00e0 gi\u1ea3m thi\u1ec3u r\u1ee7i ro trong ch\u0103n nu\u00f4i. \u0110\u1ed1i v\u1edbi c\u00e1c doanh nghi\u1ec7p ch\u0103n nu\u00f4i t\u1ea1i Vi\u1ec7t Nam, vi\u1ec7c \u00e1p d\u1ee5ng Trackfarm kh\u00f4ng ch\u1ec9 l\u00e0 b\u1eaft k\u1ecbp xu h\u01b0\u1edbng c\u00f4ng ngh\u1ec7 m\u00e0 l\u00e0 m\u1ed9t b\u01b0\u1edbc \u0111i chi\u1ebfn l\u01b0\u1ee3c \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o s\u1ef1 b\u1ec1n v\u1eefng v\u00e0 l\u1ee3i nhu\u1eadn trong m\u1ed9t th\u1ecb tr\u01b0\u1eddng ng\u00e0y c\u00e0ng c\u1ea1nh tranh.<\/p>\n

                  H\u00e3y \u0111\u1ec3 d\u1eef li\u1ec7u d\u1eabn \u0111\u01b0\u1eddng cho s\u1ef1 th\u00e0nh c\u00f4ng c\u1ee7a b\u1ea1n.<\/p>\n

                  \"H\u00ecnh<\/p>","protected":false},"excerpt":{"rendered":"

                  Ng\u00e0nh ch\u0103n nu\u00f4i to\u00e0n c\u1ea7u \u0111ang \u0111\u1ee9ng tr\u01b0\u1edbc m\u1ed9t ng\u00e3<\/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-6","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/posts\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6"}],"version-history":[{"count":0,"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=\/wp\/v2\/posts\/6\/revisions"}],"wp:attachment":[{"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/probeworld.growthrowstory.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}