{"id":6,"date":"2025-12-08T12:33:40","date_gmt":"2025-12-08T12:33:40","guid":{"rendered":"https:\/\/achieveworld.growthrowstory.com\/?p=6"},"modified":"2025-12-08T12:33:40","modified_gmt":"2025-12-08T12:33:40","slug":"tu-truyen-thong-den-ky-thuat-so-hanh-trinh-hien-dai-hoa-chan-nuoi-lon-viet-nam-cua-trackfarm","status":"publish","type":"post","link":"https:\/\/achieveworld.growthrowstory.com\/?p=6","title":{"rendered":"T\u1eeb Truy\u1ec1n Th\u1ed1ng \u0110\u1ebfn K\u1ef9 Thu\u1eadt S\u1ed1: H\u00e0nh Tr\u00ecnh Hi\u1ec7n \u0110\u1ea1i H\u00f3a Ch\u0103n Nu\u00f4i L\u1ee3n Vi\u1ec7t Nam C\u1ee7a TrackFarm"},"content":{"rendered":"

Ng\u00e0nh ch\u0103n nu\u00f4i l\u1ee3n t\u1ea1i Vi\u1ec7t Nam \u0111\u00f3ng vai tr\u00f2 then ch\u1ed1t trong n\u1ec1n kinh t\u1ebf n\u00f4ng nghi\u1ec7p, cung c\u1ea5p ngu\u1ed3n protein ch\u00ednh cho h\u00e0ng ch\u1ee5c tri\u1ec7u ng\u01b0\u1eddi d\u00e2n. V\u1edbi quy m\u00f4 \u0111\u00e0n l\u1ee3n \u01b0\u1edbc t\u00ednh v\u01b0\u1ee3t 28 tri\u1ec7u con<\/strong> v\u00e0 h\u01a1n 20.000 trang tr\u1ea1i<\/strong> ho\u1ea1t \u0111\u1ed9ng, Vi\u1ec7t Nam hi\u1ec7n l\u00e0 th\u1ecb tr\u01b0\u1eddng l\u1ee3n l\u1edbn th\u1ee9 ba tr\u00ean to\u00e0n c\u1ea7u. Tuy nhi\u00ean, s\u1ef1 ph\u00e1t tri\u1ec3n m\u1ea1nh m\u1ebd n\u00e0y l\u1ea1i \u0111i k\u00e8m v\u1edbi nh\u1eefng th\u00e1ch th\u1ee9c c\u1ed1 h\u1eefu c\u1ee7a m\u00f4 h\u00ecnh ch\u0103n nu\u00f4i truy\u1ec1n th\u1ed1ng, \u0111\u1eb7c bi\u1ec7t l\u00e0 s\u1ef1 ph\u00e2n m\u1ea3nh v\u1edbi \u0111a s\u1ed1 l\u00e0 c\u00e1c trang tr\u1ea1i quy m\u00f4 nh\u1ecf l\u1ebb.<\/p>\n

M\u00f4 h\u00ecnh truy\u1ec1n th\u1ed1ng th\u01b0\u1eddng ph\u1ea3i \u0111\u1ed1i m\u1eb7t v\u1edbi ba r\u00e0o c\u1ea3n l\u1edbn: r\u1ee7i ro d\u1ecbch b\u1ec7nh cao<\/strong>, n\u0103ng su\u1ea5t lao \u0111\u1ed9ng th\u1ea5p<\/strong>, v\u00e0 kh\u00f3 kh\u0103n trong vi\u1ec7c ki\u1ec3m so\u00e1t ch\u1ea5t l\u01b0\u1ee3ng v\u00e0 m\u00f4i tr\u01b0\u1eddng<\/strong>. S\u1ef1 b\u00f9ng ph\u00e1t c\u1ee7a c\u00e1c d\u1ecbch b\u1ec7nh nh\u01b0 D\u1ecbch t\u1ea3 l\u1ee3n Ch\u00e2u Phi (ASF) \u0111\u00e3 ph\u01a1i b\u00e0y s\u1ef1 mong manh c\u1ee7a chu\u1ed7i cung \u1ee9ng v\u00e0 kh\u1ea3 n\u0103ng qu\u1ea3n l\u00fd r\u1ee7i ro t\u1ea1i c\u00e1c trang tr\u1ea1i. H\u01a1n n\u1eefa, vi\u1ec7c gi\u00e1m s\u00e1t th\u1ee7 c\u00f4ng \u0111\u00f2i h\u1ecfi l\u01b0\u1ee3ng l\u1edbn nh\u00e2n c\u00f4ng, d\u1eabn \u0111\u1ebfn chi ph\u00ed v\u1eadn h\u00e0nh cao v\u00e0 s\u1ef1 thi\u1ebfu nh\u1ea5t qu\u00e1n trong vi\u1ec7c ch\u0103m s\u00f3c c\u00e1 th\u1ec3.<\/p>\n

Nhu c\u1ea7u v\u1ec1 m\u1ed9t cu\u1ed9c c\u00e1ch m\u1ea1ng k\u1ef9 thu\u1eadt s\u1ed1 trong ch\u0103n nu\u00f4i l\u1ee3n kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t l\u1ef1a ch\u1ecdn m\u00e0 l\u00e0 m\u1ed9t y\u00eau c\u1ea7u c\u1ea5p b\u00e1ch<\/strong> \u0111\u1ec3 \u0111\u1ea3m b\u1ea3o an ninh l\u01b0\u01a1ng th\u1ef1c, n\u00e2ng cao kh\u1ea3 n\u0103ng c\u1ea1nh tranh qu\u1ed1c t\u1ebf v\u00e0 h\u01b0\u1edbng t\u1edbi m\u1ed9t n\u1ec1n n\u00f4ng nghi\u1ec7p b\u1ec1n v\u1eefng. \u0110\u00e2y ch\u00ednh l\u00e0 b\u1ed1i c\u1ea3nh m\u00e0 TrackFarm, v\u1edbi t\u1ea7m nh\u00ecn “T\u1eeb S\u1ea3n Xu\u1ea5t \u0110\u1ebfn Ti\u00eau Th\u1ee5” (From Production To Consumption<\/strong>), \u0111\u00e3 ch\u1ecdn Vi\u1ec7t Nam l\u00e0m m\u1ed9t trong nh\u1eefng th\u1ecb tr\u01b0\u1eddng chi\u1ebfn l\u01b0\u1ee3c tr\u1ecdng \u0111i\u1ec3m \u0111\u1ec3 tri\u1ec3n khai gi\u1ea3i ph\u00e1p c\u00f4ng ngh\u1ec7 cao c\u1ee7a m\u00ecnh.<\/p>\n

II. Gi\u1ea3i Ph\u00e1p C\u00f4ng Ngh\u1ec7 DayFarm C\u1ee7a TrackFarm: Tr\u00ed Tu\u1ec7 Nh\u00e2n T\u1ea1o Trong Chu\u1ed3ng Tr\u1ea1i<\/h2>\n

TrackFarm \u0111\u00e3 ph\u00e1t tri\u1ec3n DayFarm<\/strong>, m\u1ed9t n\u1ec1n t\u1ea3ng ch\u0103n nu\u00f4i th\u00f4ng minh to\u00e0n di\u1ec7n, t\u00edch h\u1ee3p s\u00e2u c\u00f4ng ngh\u1ec7 Tr\u00ed tu\u1ec7 Nh\u00e2n t\u1ea1o (AI) v\u00e0 Internet V\u1ea1n v\u1eadt (IoT) \u0111\u1ec3 chuy\u1ec3n \u0111\u1ed5i c\u00e1c trang tr\u1ea1i l\u1ee3n truy\u1ec1n th\u1ed1ng th\u00e0nh c\u00e1c c\u01a1 s\u1edf s\u1ea3n xu\u1ea5t th\u00f4ng minh, t\u1ef1 \u0111\u1ed9ng h\u00f3a cao. DayFarm kh\u00f4ng ch\u1ec9 l\u00e0 m\u1ed9t h\u1ec7 th\u1ed1ng gi\u00e1m s\u00e1t m\u00e0 l\u00e0 m\u1ed9t b\u1ed9 n\u00e3o k\u1ef9 thu\u1eadt s\u1ed1<\/strong> qu\u1ea3n l\u00fd to\u00e0n b\u1ed9 v\u00f2ng \u0111\u1eddi c\u1ee7a \u0111\u00e0n l\u1ee3n.<\/p>\n

2.1. Ki\u1ebfn Tr\u00fac H\u1ec7 Th\u1ed1ng DayFarm: SW, IoT v\u00e0 ColdChain<\/h3>\n

N\u1ec1n t\u1ea3ng DayFarm \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng tr\u00ean ba tr\u1ee5 c\u1ed9t c\u00f4ng ngh\u1ec7 ch\u00ednh, t\u1ea1o n\u00ean m\u1ed9t chu\u1ed7i gi\u00e1 tr\u1ecb kh\u00e9p k\u00edn t\u1eeb trang tr\u1ea1i \u0111\u1ebfn b\u00e0n \u0103n:<\/p>\n\n\n\n\n\n\n\n
Tr\u1ee5 C\u1ed9t<\/th>\nTh\u00e0nh Ph\u1ea7n C\u00f4ng Ngh\u1ec7<\/th>\nCh\u1ee9c N\u0103ng Ch\u00ednh<\/th>\n<\/tr>\n<\/thead>\n
SW (AI Software)<\/strong><\/td>\nThu\u1eadt to\u00e1n Deep Learning, Ph\u00e2n t\u00edch D\u1eef li\u1ec7u L\u1edbn<\/td>\nPh\u00e2n t\u00edch h\u00e0nh vi, d\u1ef1 \u0111o\u00e1n t\u0103ng tr\u01b0\u1edfng, ch\u1ea9n \u0111o\u00e1n b\u1ec7nh s\u1edbm, t\u1ed1i \u01b0u h\u00f3a quy tr\u00ecnh.<\/td>\n<\/tr>\n
IoT (Sensors\/Hardware)<\/strong><\/td>\nCamera AI, C\u1ea3m bi\u1ebfn nhi\u1ec7t, C\u1ea3m bi\u1ebfn m\u00f4i tr\u01b0\u1eddng<\/td>\nThu th\u1eadp d\u1eef li\u1ec7u th\u1eddi gian th\u1ef1c v\u1ec1 c\u00e1 th\u1ec3 l\u1ee3n v\u00e0 \u0111i\u1ec1u ki\u1ec7n chu\u1ed3ng tr\u1ea1i.<\/td>\n<\/tr>\n
ColdChain (Logistics)<\/strong><\/td>\nGi\u1ea3i ph\u00e1p qu\u1ea3n l\u00fd chu\u1ed7i cung \u1ee9ng l\u1ea1nh<\/td>\n\u0110\u1ea3m b\u1ea3o ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m t\u1eeb kh\u00e2u thu ho\u1ea1ch \u0111\u1ebfn ph\u00e2n ph\u1ed1i cu\u1ed1i c\u00f9ng.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

S\u1ef1 k\u1ebft h\u1ee3p n\u00e0y cho ph\u00e9p DayFarm th\u1ef1c hi\u1ec7n m\u1ed9t cu\u1ed9c c\u00e1ch m\u1ea1ng trong vi\u1ec7c qu\u1ea3n l\u00fd trang tr\u1ea1i, chuy\u1ec3n t\u1eeb m\u00f4 h\u00ecnh ph\u1ea3n \u1ee9ng<\/strong> sang m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n v\u00e0 ph\u00f2ng ng\u1eeba<\/strong>.<\/p>\n

2.2. C\u00f4ng Ngh\u1ec7 AI v\u00e0 Deep Learning: M\u1eaft Th\u1ea7n Gi\u00e1m S\u00e1t<\/h3>\n

Tr\u00e1i tim c\u1ee7a DayFarm l\u00e0 c\u00f4ng ngh\u1ec7 AI d\u1ef1a tr\u00ean Deep Learning<\/strong>, \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n t\u1eeb m\u1ed9t kho d\u1eef li\u1ec7u kh\u1ed5ng l\u1ed3. TrackFarm \u0111\u00e3 thu th\u1eadp v\u00e0 x\u1eed l\u00fd h\u01a1n 7.850 m\u00f4 h\u00ecnh d\u1eef li\u1ec7u c\u00e1 th\u1ec3 l\u1ee3n<\/strong>, t\u1ea1o ra m\u1ed9t c\u01a1 s\u1edf tri th\u1ee9c v\u1eefng ch\u1eafc \u0111\u1ec3 AI c\u00f3 th\u1ec3 \u0111\u01b0a ra c\u00e1c quy\u1ebft \u0111\u1ecbnh ch\u00ednh x\u00e1c.<\/p>\n

Th\u00f4ng s\u1ed1 k\u1ef9 thu\u1eadt c\u1ee7a h\u1ec7 th\u1ed1ng gi\u00e1m s\u00e1t:<\/strong><\/p>\n

    \n
  • Camera AI:<\/strong> M\u1ed7i camera \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 gi\u00e1m s\u00e1t m\u1ed9t khu v\u1ef1c r\u1ed9ng 132 m\u00e9t vu\u00f4ng<\/strong> (1 per 132\u33a1), \u0111\u1ea3m b\u1ea3o m\u1ecdi c\u00e1 th\u1ec3 l\u1ee3n \u0111\u1ec1u n\u1eb1m trong t\u1ea7m quan s\u00e1t.<\/li>\n
  • Ph\u00e2n t\u00edch H\u00e0nh vi:<\/strong> AI li\u00ean t\u1ee5c theo d\u00f5i c\u00e1c ch\u1ec9 s\u1ed1 h\u00e0nh vi nh\u01b0 t\u1ea7n su\u1ea5t \u0103n u\u1ed1ng, v\u1eadn \u0111\u1ed9ng, v\u00e0 t\u01b0\u01a1ng t\u00e1c x\u00e3 h\u1ed9i. B\u1ea5t k\u1ef3 s\u1ef1 thay \u0111\u1ed5i nh\u1ecf n\u00e0o trong h\u00e0nh vi, c\u00f3 th\u1ec3 l\u00e0 d\u1ea5u hi\u1ec7u s\u1edbm c\u1ee7a b\u1ec7nh t\u1eadt ho\u1eb7c c\u0103ng th\u1eb3ng, \u0111\u1ec1u \u0111\u01b0\u1ee3c h\u1ec7 th\u1ed1ng c\u1ea3nh b\u00e1o ngay l\u1eadp t\u1ee9c.<\/li>\n
  • H\u00ecnh \u1ea3nh Nhi\u1ec7t (Thermal Imaging):<\/strong> S\u1eed d\u1ee5ng h\u00ecnh \u1ea3nh nhi\u1ec7t \u0111\u1ec3 \u0111o l\u01b0\u1eddng nhi\u1ec7t \u0111\u1ed9 c\u01a1 th\u1ec3 l\u1ee3n v\u00e0 nhi\u1ec7t \u0111\u1ed9 m\u00f4i tr\u01b0\u1eddng m\u1ed9t c\u00e1ch kh\u00f4ng x\u00e2m l\u1ea5n. \u0110i\u1ec1u n\u00e0y c\u1ef1c k\u1ef3 quan tr\u1ecdng trong vi\u1ec7c ph\u00e1t hi\u1ec7n s\u1edbm c\u00e1c b\u1ec7nh s\u1ed1t ho\u1eb7c c\u00e1c v\u1ea5n \u0111\u1ec1 v\u1ec1 \u0111i\u1ec1u h\u00f2a nhi\u1ec7t \u0111\u1ed9 chu\u1ed3ng tr\u1ea1i.<\/li>\n
  • D\u1ef1 \u0111o\u00e1n T\u0103ng tr\u01b0\u1edfng:<\/strong> B\u1eb1ng c\u00e1ch ph\u00e2n t\u00edch h\u00ecnh \u1ea3nh v\u00e0 d\u1eef li\u1ec7u c\u00e2n n\u1eb7ng \u01b0\u1edbc t\u00ednh, AI c\u00f3 th\u1ec3 d\u1ef1 \u0111o\u00e1n t\u1ed1c \u0111\u1ed9 t\u0103ng tr\u01b0\u1edfng c\u1ee7a t\u1eebng con l\u1ee3n, gi\u00fap ng\u01b0\u1eddi ch\u0103n nu\u00f4i t\u1ed1i \u01b0u h\u00f3a kh\u1ea9u ph\u1ea7n \u0103n v\u00e0 th\u1eddi \u0111i\u1ec3m xu\u1ea5t chu\u1ed3ng, t\u1eeb \u0111\u00f3 t\u1ed1i \u0111a h\u00f3a l\u1ee3i nhu\u1eadn.<\/li>\n<\/ul>\n

    Ph\u00f2ng ng\u1eeba D\u1ecbch b\u1ec7nh:<\/strong> Kh\u1ea3 n\u0103ng ph\u00e1t hi\u1ec7n s\u1edbm c\u00e1c d\u1ea5u hi\u1ec7u b\u1ec7nh t\u1eadt l\u00e0 m\u1ed9t l\u1ee3i th\u1ebf c\u1ea1nh tranh then ch\u1ed1t. H\u1ec7 th\u1ed1ng AI c\u00f3 th\u1ec3 nh\u1eadn di\u1ec7n c\u00e1c t\u01b0 th\u1ebf b\u1ea5t th\u01b0\u1eddng, ho, ho\u1eb7c c\u00e1c d\u1ea5u hi\u1ec7u vi\u00eam nhi\u1ec5m tr\u01b0\u1edbc khi ch\u00fang tr\u1edf th\u00e0nh d\u1ecbch b\u1ec7nh tr\u00ean di\u1ec7n r\u1ed9ng, cho ph\u00e9p can thi\u1ec7p k\u1ecbp th\u1eddi v\u00e0 c\u00f4 l\u1eadp c\u00e1 th\u1ec3 l\u1ee3n b\u1ec7nh.<\/p>\n

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

    III. T\u00e1c \u0110\u1ed9ng Kinh T\u1ebf v\u00e0 X\u00e3 H\u1ed9i T\u1ea1i Vi\u1ec7t Nam<\/h2>\n

    Vi\u1ec7c tri\u1ec3n khai c\u00f4ng ngh\u1ec7 DayFarm t\u1ea1i Vi\u1ec7t Nam, \u0111\u1eb7c bi\u1ec7t t\u1ea1i c\u00e1c trang tr\u1ea1i \u1edf H\u1ed3 Ch\u00ed Minh<\/strong> v\u00e0 \u0110\u1ed3ng Nai<\/strong>, \u0111\u00e3 mang l\u1ea1i nh\u1eefng k\u1ebft qu\u1ea3 \u1ea5n t\u01b0\u1ee3ng, gi\u1ea3i quy\u1ebft tr\u1ef1c ti\u1ebfp c\u00e1c \u0111i\u1ec3m y\u1ebfu c\u1ee7a ng\u00e0nh ch\u0103n nu\u00f4i truy\u1ec1n th\u1ed1ng.<\/p>\n

    3.1. T\u1ed1i \u01afu H\u00f3a Chi Ph\u00ed Lao \u0110\u1ed9ng v\u00e0 V\u1eadn H\u00e0nh<\/h3>\n

    M\u1ed9t trong nh\u1eefng l\u1ee3i \u00edch r\u00f5 r\u1ec7t nh\u1ea5t c\u1ee7a DayFarm l\u00e0 kh\u1ea3 n\u0103ng t\u1ef1 \u0111\u1ed9ng h\u00f3a g\u1ea7n nh\u01b0 ho\u00e0n to\u00e0n c\u00e1c c\u00f4ng vi\u1ec7c gi\u00e1m s\u00e1t v\u00e0 qu\u1ea3n l\u00fd chu\u1ed3ng tr\u1ea1i. TrackFarm tuy\u00ean b\u1ed1 gi\u1ea3i ph\u00e1p c\u1ee7a h\u1ecd c\u00f3 th\u1ec3 gi\u1ea3m chi ph\u00ed lao \u0111\u1ed9ng t\u1edbi 99%<\/strong> th\u00f4ng qua t\u1ef1 \u0111\u1ed9ng h\u00f3a.<\/p>\n

    Ph\u00e2n t\u00edch Gi\u1ea3m Chi Ph\u00ed Lao \u0110\u1ed9ng:<\/strong><\/p>\n\n\n\n\n\n\n\n\n
    Ho\u1ea1t \u0110\u1ed9ng Truy\u1ec1n Th\u1ed1ng<\/th>\nT\u1ef1 \u0110\u1ed9ng H\u00f3a B\u1eb1ng DayFarm<\/th>\nM\u1ee9c Gi\u1ea3m Lao \u0110\u1ed9ng \u01af\u1edbc T\u00ednh<\/th>\n<\/tr>\n<\/thead>\n
    Gi\u00e1m s\u00e1t s\u1ee9c kh\u1ecfe c\u00e1 th\u1ec3 l\u1ee3n<\/td>\nCamera AI, Ph\u00e2n t\u00edch h\u00e0nh vi<\/td>\nR\u1ea5t cao (chuy\u1ec3n t\u1eeb th\u1ee7 c\u00f4ng sang c\u1ea3nh b\u00e1o t\u1ef1 \u0111\u1ed9ng)<\/td>\n<\/tr>\n
    Ki\u1ec3m so\u00e1t m\u00f4i tr\u01b0\u1eddng (nhi\u1ec7t \u0111\u1ed9, \u0111\u1ed9 \u1ea9m)<\/td>\nC\u1ea3m bi\u1ebfn IoT, H\u1ec7 th\u1ed1ng \u0111i\u1ec1u khi\u1ec3n t\u1ef1 \u0111\u1ed9ng<\/td>\nCao (t\u1ed1i \u01b0u h\u00f3a n\u0103ng l\u01b0\u1ee3ng v\u00e0 \u0111i\u1ec1u ki\u1ec7n s\u1ed1ng)<\/td>\n<\/tr>\n
    Ghi ch\u00e9p v\u00e0 b\u00e1o c\u00e1o t\u0103ng tr\u01b0\u1edfng<\/td>\nD\u1ef1 \u0111o\u00e1n t\u0103ng tr\u01b0\u1edfng AI, B\u00e1o c\u00e1o t\u1ef1 \u0111\u1ed9ng<\/td>\nR\u1ea5t cao (lo\u1ea1i b\u1ecf ho\u00e0n to\u00e0n c\u00f4ng vi\u1ec7c ghi ch\u00e9p th\u1ee7 c\u00f4ng)<\/td>\n<\/tr>\n
    Ph\u00e1t hi\u1ec7n v\u00e0 c\u00f4 l\u1eadp l\u1ee3n b\u1ec7nh<\/td>\nPh\u00e2n t\u00edch h\u00ecnh \u1ea3nh nhi\u1ec7t v\u00e0 h\u00e0nh vi<\/td>\nCao (gi\u1ea3m th\u1eddi gian t\u00ecm ki\u1ebfm v\u00e0 can thi\u1ec7p)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    Vi\u1ec7c gi\u1ea3m thi\u1ec3u s\u1ef1 ph\u1ee5 thu\u1ed9c v\u00e0o lao \u0111\u1ed9ng th\u1ee7 c\u00f4ng kh\u00f4ng ch\u1ec9 c\u1eaft gi\u1ea3m chi ph\u00ed m\u00e0 c\u00f2n gi\u1ea3i quy\u1ebft v\u1ea5n \u0111\u1ec1 thi\u1ebfu h\u1ee5t lao \u0111\u1ed9ng c\u00f3 k\u1ef9 n\u0103ng trong ng\u00e0nh n\u00f4ng nghi\u1ec7p hi\u1ec7n \u0111\u1ea1i.<\/p>\n

    3.2. M\u00f4 H\u00ecnh Doanh Thu B\u1ec1n V\u1eefng v\u00e0 Kh\u1ea3 N\u0103ng Sinh L\u1eddi<\/h3>\n

    TrackFarm \u00e1p d\u1ee5ng m\u1ed9t m\u00f4 h\u00ecnh doanh thu \u0111a d\u1ea1ng, t\u1eadp trung v\u00e0o gi\u00e1 tr\u1ecb gia t\u0103ng tr\u00ean m\u1ed7i c\u00e1 th\u1ec3 l\u1ee3n \u0111\u01b0\u1ee3c qu\u1ea3n l\u00fd, thay v\u00ec ch\u1ec9 b\u00e1n ph\u1ea7n c\u1ee9ng. \u0110i\u1ec1u n\u00e0y t\u1ea1o ra m\u1ed9t m\u1ed1i quan h\u1ec7 \u0111\u1ed1i t\u00e1c l\u00e2u d\u00e0i v\u1edbi ng\u01b0\u1eddi ch\u0103n nu\u00f4i, n\u01a1i l\u1ee3i \u00edch c\u1ee7a c\u1ea3 hai b\u00ean \u0111\u01b0\u1ee3c g\u1eafn k\u1ebft.<\/p>\n\n\n\n\n\n\n\n
    D\u1ecbch V\u1ee5<\/th>\nM\u00f4 H\u00ecnh T\u00ednh Ph\u00ed<\/th>\nGi\u00e1 Tr\u1ecb Gia T\u0103ng<\/th>\n<\/tr>\n<\/thead>\n
    Qu\u1ea3n l\u00fd Trang tr\u1ea1i Th\u00f4ng minh<\/strong><\/td>\n$300\/con l\u1ee3n\/n\u0103m<\/strong> (Ph\u1ea7n c\u1ee9ng\/Ph\u1ea7n m\u1ec1m)<\/td>\nT\u1ed1i \u01b0u h\u00f3a n\u0103ng su\u1ea5t, gi\u1ea3m chi ph\u00ed v\u1eadn h\u00e0nh, ph\u00f2ng ng\u1eeba r\u1ee7i ro.<\/td>\n<\/tr>\n
    D\u1ecbch v\u1ee5 Gi\u1ed1ng<\/strong><\/td>\n$330\/con l\u1ee3n<\/strong> (Gi\u1ed1ng ch\u1ea5t l\u01b0\u1ee3ng cao)<\/td>\nC\u1ea3i thi\u1ec7n ch\u1ea5t l\u01b0\u1ee3ng \u0111\u00e0n, t\u0103ng t\u1ef7 l\u1ec7 s\u1ed1ng v\u00e0 t\u1ed1c \u0111\u1ed9 t\u0103ng tr\u01b0\u1edfng.<\/td>\n<\/tr>\n
    D\u1ecbch v\u1ee5 Ch\u1ebf bi\u1ebfn<\/strong><\/td>\n$100\/con l\u1ee3n<\/strong> (Ch\u1ebf bi\u1ebfn v\u00e0 truy xu\u1ea5t ngu\u1ed3n g\u1ed1c)<\/td>\n\u0110\u1ea3m b\u1ea3o ch\u1ea5t l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m cu\u1ed1i c\u00f9ng, m\u1edf r\u1ed9ng th\u1ecb tr\u01b0\u1eddng ti\u00eau th\u1ee5.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    M\u00f4 h\u00ecnh n\u00e0y cho th\u1ea5y s\u1ef1 t\u1ef1 tin c\u1ee7a TrackFarm v\u00e0o kh\u1ea3 n\u0103ng c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t ch\u0103n nu\u00f4i. V\u1edbi chi ph\u00ed \u0111\u1ea7u t\u01b0 kho\u1ea3ng $300\/con\/n\u0103m cho HW\/SW, ng\u01b0\u1eddi ch\u0103n nu\u00f4i c\u00f3 th\u1ec3 k\u1ef3 v\u1ecdng v\u00e0o s\u1ef1 gia t\u0103ng \u0111\u00e1ng k\u1ec3 v\u1ec1 t\u1ef7 l\u1ec7 s\u1ed1ng, t\u1ed1c \u0111\u1ed9 t\u0103ng tr\u01b0\u1edfng v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng th\u1ecbt, d\u1ec5 d\u00e0ng b\u00f9 \u0111\u1eafp chi ph\u00ed \u0111\u1ea7u t\u01b0 v\u00e0 t\u1ea1o ra l\u1ee3i nhu\u1eadn r\u00f2ng cao h\u01a1n.<\/p>\n

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

    IV. Ph\u00e2n T\u00edch K\u1ef9 Thu\u1eadt Chuy\u00ean S\u00e2u: C\u01a1 Ch\u1ebf Ho\u1ea1t \u0110\u1ed9ng C\u1ee7a AI<\/h2>\n

    \u0110\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t gi\u1ea3m chi ph\u00ed lao \u0111\u1ed9ng 99% v\u00e0 kh\u1ea3 n\u0103ng d\u1ef1 \u0111o\u00e1n b\u1ec7nh t\u1eadt ch\u00ednh x\u00e1c, DayFarm d\u1ef1a v\u00e0o m\u1ed9t chu tr\u00ecnh ph\u00e2n t\u00edch d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p, k\u1ebft h\u1ee3p gi\u1eefa thu th\u1eadp d\u1eef li\u1ec7u th\u00f4 v\u00e0 x\u1eed l\u00fd b\u1eb1ng thu\u1eadt to\u00e1n Deep Learning ti\u00ean ti\u1ebfn.<\/p>\n

    4.1. Quy Tr\u00ecnh Thu Th\u1eadp v\u00e0 X\u1eed L\u00fd D\u1eef Li\u1ec7u \u0110a Chi\u1ec1u<\/h3>\n

    H\u1ec7 th\u1ed1ng DayFarm thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n kh\u00e1c nhau trong chu\u1ed3ng tr\u1ea1i:<\/p>\n

      \n
    1. D\u1eef li\u1ec7u H\u00ecnh \u1ea3nh (Visual Data):<\/strong> Camera AI ghi l\u1ea1i h\u00ecnh \u1ea3nh 24\/7. D\u1eef li\u1ec7u n\u00e0y \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 nh\u1eadn d\u1ea1ng c\u00e1 th\u1ec3, theo d\u00f5i v\u1ecb tr\u00ed, v\u00e0 ph\u00e2n t\u00edch t\u01b0 th\u1ebf (n\u1eb1m, \u0111\u1ee9ng, \u0103n, u\u1ed1ng).<\/li>\n
    2. D\u1eef li\u1ec7u Nhi\u1ec7t (Thermal Data):<\/strong> C\u1ea3m bi\u1ebfn nhi\u1ec7t cung c\u1ea5p b\u1ea3n \u0111\u1ed3 nhi\u1ec7t c\u1ee7a chu\u1ed3ng tr\u1ea1i v\u00e0 nhi\u1ec7t \u0111\u1ed9 b\u1ec1 m\u1eb7t c\u1ee7a l\u1ee3n. S\u1ef1 t\u0103ng nhi\u1ec7t \u0111\u1ed9 c\u1ee5c b\u1ed9 c\u00f3 th\u1ec3 l\u00e0 d\u1ea5u hi\u1ec7u c\u1ee7a vi\u00eam nhi\u1ec5m ho\u1eb7c stress nhi\u1ec7t.<\/li>\n
    3. D\u1eef li\u1ec7u M\u00f4i tr\u01b0\u1eddng (Environmental Data):<\/strong> C\u1ea3m bi\u1ebfn IoT \u0111o l\u01b0\u1eddng c\u00e1c y\u1ebfu t\u1ed1 quan tr\u1ecdng nh\u01b0 nhi\u1ec7t \u0111\u1ed9 kh\u00f4ng kh\u00ed, \u0111\u1ed9 \u1ea9m, n\u1ed3ng \u0111\u1ed9 Amoniac (NH3) v\u00e0 Carbon Dioxide (CO2). C\u00e1c y\u1ebfu t\u1ed1 n\u00e0y \u1ea3nh h\u01b0\u1edfng tr\u1ef1c ti\u1ebfp \u0111\u1ebfn s\u1ee9c kh\u1ecfe h\u00f4 h\u1ea5p v\u00e0 t\u1ed1c \u0111\u1ed9 t\u0103ng tr\u01b0\u1edfng c\u1ee7a l\u1ee3n.<\/li>\n<\/ol>\n

      4.2. Thu\u1eadt To\u00e1n Deep Learning v\u00e0 M\u00f4 H\u00ecnh D\u1ef1 \u0110o\u00e1n<\/h3>\n

      D\u1eef li\u1ec7u th\u00f4 \u0111\u01b0\u1ee3c \u0111\u01b0a v\u00e0o c\u00e1c m\u00f4 h\u00ecnh Deep Learning c\u1ee7a TrackFarm. C\u00e1c m\u00f4 h\u00ecnh n\u00e0y \u0111\u01b0\u1ee3c t\u1ed1i \u01b0u h\u00f3a cho c\u00e1c t\u00e1c v\u1ee5 c\u1ee5 th\u1ec3:<\/p>\n

        \n
      • Ph\u00e2n lo\u1ea1i H\u00e0nh vi (Behavior Classification):<\/strong> S\u1eed d\u1ee5ng m\u1ea1ng n\u01a1-ron t\u00edch ch\u1eadp (CNN) \u0111\u1ec3 ph\u00e2n lo\u1ea1i c\u00e1c h\u00e0nh vi c\u1ee7a l\u1ee3n. V\u00ed d\u1ee5, m\u1ed9t con l\u1ee3n n\u1eb1m l\u00ec m\u1ed9t ch\u1ed7 trong th\u1eddi gian d\u00e0i h\u01a1n m\u1ee9c b\u00ecnh th\u01b0\u1eddng c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c g\u1eafn c\u1edd l\u00e0 “b\u1ea5t \u0111\u1ed9ng” v\u00e0 l\u00e0 d\u1ea5u hi\u1ec7u c\u1ee7a b\u1ec7nh t\u1eadt.<\/li>\n
      • \u01af\u1edbc t\u00ednh C\u00e2n n\u1eb7ng v\u00e0 T\u0103ng tr\u01b0\u1edfng (Weight and Growth Estimation):<\/strong> S\u1eed d\u1ee5ng k\u1ef9 thu\u1eadt th\u1ecb gi\u00e1c m\u00e1y t\u00ednh \u0111\u1ec3 \u01b0\u1edbc t\u00ednh c\u00e2n n\u1eb7ng c\u1ee7a l\u1ee3n m\u00e0 kh\u00f4ng c\u1ea7n c\u00e2n v\u1eadt l\u00fd. Thu\u1eadt to\u00e1n ph\u00e2n t\u00edch k\u00edch th\u01b0\u1edbc, h\u00ecnh d\u1ea1ng v\u00e0 th\u1ec3 t\u00edch \u01b0\u1edbc t\u00ednh t\u1eeb h\u00ecnh \u1ea3nh 2D, sau \u0111\u00f3 \u00e1nh x\u1ea1 n\u00f3 v\u1edbi d\u1eef li\u1ec7u t\u0103ng tr\u01b0\u1edfng th\u1ef1c t\u1ebf \u0111\u1ec3 \u0111\u01b0a ra d\u1ef1 \u0111o\u00e1n ch\u00ednh x\u00e1c v\u1ec1 th\u1eddi \u0111i\u1ec3m \u0111\u1ea1t c\u00e2n n\u1eb7ng xu\u1ea5t chu\u1ed3ng t\u1ed1i \u01b0u.<\/li>\n
      • Ph\u00e1t hi\u1ec7n B\u1ea5t th\u01b0\u1eddng (Anomaly Detection):<\/strong> \u0110\u00e2y l\u00e0 ch\u1ee9c n\u0103ng quan tr\u1ecdng nh\u1ea5t trong ph\u00f2ng ng\u1eeba d\u1ecbch b\u1ec7nh. M\u00f4 h\u00ecnh h\u1ecdc m\u00e1y kh\u00f4ng gi\u00e1m s\u00e1t (Unsupervised Learning) \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh c\u00e1c m\u1eabu d\u1eef li\u1ec7u kh\u00e1c bi\u1ec7t \u0111\u00e1ng k\u1ec3 so v\u1edbi h\u00e0nh vi b\u00ecnh th\u01b0\u1eddng c\u1ee7a \u0111\u00e0n l\u1ee3n, v\u00ed d\u1ee5 nh\u01b0 s\u1ef1 t\u1eadp trung b\u1ea5t th\u01b0\u1eddng c\u1ee7a l\u1ee3n \u1edf m\u1ed9t g\u00f3c chu\u1ed3ng (d\u1ea5u hi\u1ec7u c\u1ee7a stress nhi\u1ec7t ho\u1eb7c l\u1ea1nh) ho\u1eb7c s\u1ef1 gi\u1ea3m \u0111\u1ed9t ng\u1ed9t trong ho\u1ea1t \u0111\u1ed9ng \u0103n u\u1ed1ng.<\/li>\n<\/ul>\n

        B\u1ea3ng so s\u00e1nh gi\u1eefa Ch\u0103n nu\u00f4i Truy\u1ec1n th\u1ed1ng v\u00e0 Ch\u0103n nu\u00f4i Th\u00f4ng minh (Smart Farming):<\/strong><\/p>\n\n\n\n\n\n\n\n\n\n
        Ti\u00eau Ch\u00ed<\/th>\nCh\u0103n Nu\u00f4i Truy\u1ec1n Th\u1ed1ng<\/th>\nCh\u0103n Nu\u00f4i Th\u00f4ng Minh (DayFarm)<\/th>\n<\/tr>\n<\/thead>\n
        Gi\u00e1m s\u00e1t<\/strong><\/td>\nTh\u1ee7 c\u00f4ng, \u0111\u1ecbnh k\u1ef3, d\u1ec5 b\u1ecf s\u00f3t<\/td>\nT\u1ef1 \u0111\u1ed9ng 24\/7, theo d\u00f5i c\u00e1 th\u1ec3<\/td>\n<\/tr>\n
        Ph\u00e1t hi\u1ec7n B\u1ec7nh<\/strong><\/td>\nD\u1ef1a v\u00e0o tri\u1ec7u ch\u1ee9ng r\u00f5 r\u00e0ng, th\u01b0\u1eddng l\u00e0 mu\u1ed9n<\/td>\nPh\u00e1t hi\u1ec7n s\u1edbm qua ph\u00e2n t\u00edch h\u00e0nh vi v\u00e0 nhi\u1ec7t \u0111\u1ed9<\/td>\n<\/tr>\n
        Qu\u1ea3n l\u00fd M\u00f4i tr\u01b0\u1eddng<\/strong><\/td>\n\u0110i\u1ec1u ch\u1ec9nh th\u1ee7 c\u00f4ng, k\u00e9m hi\u1ec7u qu\u1ea3<\/td>\nT\u1ef1 \u0111\u1ed9ng, t\u1ed1i \u01b0u h\u00f3a theo th\u1eddi gian th\u1ef1c<\/td>\n<\/tr>\n
        N\u0103ng su\u1ea5t Lao \u0111\u1ed9ng<\/strong><\/td>\nTh\u1ea5p, chi ph\u00ed cao<\/td>\nR\u1ea5t cao (gi\u1ea3m 99% lao \u0111\u1ed9ng gi\u00e1m s\u00e1t)<\/td>\n<\/tr>\n
        D\u1eef li\u1ec7u<\/strong><\/td>\nGhi ch\u00e9p gi\u1ea5y t\u1edd, kh\u00f4ng c\u00f3 kh\u1ea3 n\u0103ng ph\u00e2n t\u00edch<\/td>\nD\u1eef li\u1ec7u l\u1edbn, ph\u00e2n t\u00edch d\u1ef1 \u0111o\u00e1n chuy\u00ean s\u00e2u<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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

        V. Chi\u1ebfn L\u01b0\u1ee3c Th\u1ecb Tr\u01b0\u1eddng v\u00e0 H\u1ee3p T\u00e1c T\u1ea1i Vi\u1ec7t Nam<\/h2>\n

        Vi\u1ec7c TrackFarm ch\u1ecdn Vi\u1ec7t Nam l\u00e0m th\u1ecb tr\u01b0\u1eddng tr\u1ecdng \u0111i\u1ec3m kh\u00f4ng ph\u1ea3i l\u00e0 ng\u1eabu nhi\u00ean. \u0110\u00e2y l\u00e0 m\u1ed9t th\u1ecb tr\u01b0\u1eddng c\u00f3 ti\u1ec1m n\u0103ng t\u0103ng tr\u01b0\u1edfng l\u1edbn nh\u01b0ng c\u0169ng \u0111\u00f2i h\u1ecfi s\u1ef1 th\u00edch nghi cao v\u1edbi \u0111i\u1ec1u ki\u1ec7n \u0111\u1ecba ph\u01b0\u01a1ng.<\/p>\n

        5.1. Th\u00edch Nghi v\u1edbi Quy M\u00f4 Trang Tr\u1ea1i Vi\u1ec7t Nam<\/h3>\n

        Trong khi H\u00e0n Qu\u1ed1c v\u00e0 c\u00e1c th\u1ecb tr\u01b0\u1eddng ph\u00e1t tri\u1ec3n kh\u00e1c c\u00f3 xu h\u01b0\u1edbng trang tr\u1ea1i quy m\u00f4 l\u1edbn, Vi\u1ec7t Nam l\u1ea1i c\u00f3 h\u01a1n 20.000 trang tr\u1ea1i nh\u1ecf. Gi\u1ea3i ph\u00e1p DayFarm c\u1ee7a TrackFarm \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf \u0111\u1ec3 c\u00f3 t\u00ednh m\u00f4-\u0111un h\u00f3a cao<\/strong>, cho ph\u00e9p tri\u1ec3n khai hi\u1ec7u qu\u1ea3 t\u1eeb c\u00e1c trang tr\u1ea1i R&D l\u1edbn (nh\u01b0 trang tr\u1ea1i 3.000+ l\u1ee3n t\u1ea1i H\u1ed3 Ch\u00ed Minh\/\u0110\u1ed3ng Nai) \u0111\u1ebfn c\u00e1c trang tr\u1ea1i quy m\u00f4 v\u1eeba v\u00e0 nh\u1ecf.<\/p>\n

        S\u1ef1 h\u1ee3p t\u00e1c v\u1edbi c\u00e1c \u0111\u1ed1i t\u00e1c \u0111\u1ecba ph\u01b0\u01a1ng m\u1ea1nh m\u1ebd l\u00e0 ch\u00eca kh\u00f3a th\u00e0nh c\u00f4ng. TrackFarm \u0111\u00e3 thi\u1ebft l\u1eadp quan h\u1ec7 \u0111\u1ed1i t\u00e1c chi\u1ebfn l\u01b0\u1ee3c v\u1edbi c\u00e1c c\u00f4ng ty h\u00e0ng \u0111\u1ea7u trong ng\u00e0nh n\u00f4ng nghi\u1ec7p Vi\u1ec7t Nam nh\u01b0 CJ VINA AGRI<\/strong> v\u00e0 c\u00e1c t\u1ed5 ch\u1ee9c c\u00f4ng ngh\u1ec7 nh\u01b0 VETTECH<\/strong> v\u00e0 INTRACO<\/strong>. Nh\u1eefng \u0111\u1ed1i t\u00e1c n\u00e0y kh\u00f4ng ch\u1ec9 cung c\u1ea5p k\u00eanh ph\u00e2n ph\u1ed1i m\u00e0 c\u00f2n gi\u00fap TrackFarm tinh ch\u1ec9nh m\u00f4 h\u00ecnh AI \u0111\u1ec3 ph\u00f9 h\u1ee3p v\u1edbi gi\u1ed1ng l\u1ee3n, \u0111i\u1ec1u ki\u1ec7n kh\u00ed h\u1eadu v\u00e0 ph\u01b0\u01a1ng th\u1ee9c ch\u0103n nu\u00f4i \u0111\u1eb7c th\u00f9 c\u1ee7a Vi\u1ec7t Nam.<\/p>\n

        5.2. T\u1ea7m Nh\u00ecn To\u00e0n C\u1ea7u v\u00e0 C\u00e1c D\u1ea5u M\u1ed1c Quan Tr\u1ecdng<\/h3>\n

        S\u1ef1 hi\u1ec7n di\u1ec7n c\u1ee7a TrackFarm t\u1ea1i Vi\u1ec7t Nam l\u00e0 m\u1ed9t ph\u1ea7n c\u1ee7a chi\u1ebfn l\u01b0\u1ee3c m\u1edf r\u1ed9ng to\u00e0n c\u1ea7u, nh\u1eafm \u0111\u1ebfn c\u00e1c th\u1ecb tr\u01b0\u1eddng \u0110\u00f4ng Nam \u00c1 v\u00e0 M\u1ef9.<\/p>\n\n\n\n\n\n\n\n\n
        D\u1ea5u M\u1ed1c Quan Tr\u1ecdng<\/th>\nTh\u1eddi Gian<\/th>\n\u00dd Ngh\u0129a Chi\u1ebfn L\u01b0\u1ee3c<\/th>\n<\/tr>\n<\/thead>\n
        Th\u00e0nh l\u1eadp<\/strong><\/td>\nTh\u00e1ng 12\/2021<\/td>\nKh\u1edfi \u0111\u1ea7u h\u00e0nh tr\u00ecnh chuy\u1ec3n \u0111\u1ed5i n\u00f4ng nghi\u1ec7p th\u00f4ng minh.<\/td>\n<\/tr>\n
        TIPS Program<\/strong><\/td>\n2023<\/td>\n\u0110\u01b0\u1ee3c ch\u1ecdn v\u00e0o ch\u01b0\u01a1ng tr\u00ecnh h\u1ed7 tr\u1ee3 kh\u1edfi nghi\u1ec7p c\u00f4ng ngh\u1ec7 h\u00e0ng \u0111\u1ea7u c\u1ee7a H\u00e0n Qu\u1ed1c, kh\u1eb3ng \u0111\u1ecbnh ti\u1ec1m n\u0103ng c\u00f4ng ngh\u1ec7.<\/td>\n<\/tr>\n
        CES 2024\/2025<\/strong><\/td>\n2024 & 2025<\/td>\nTham gia tri\u1ec3n l\u00e3m c\u00f4ng ngh\u1ec7 ti\u00eau d\u00f9ng l\u1edbn nh\u1ea5t th\u1ebf gi\u1edbi, gi\u1edbi thi\u1ec7u gi\u1ea3i ph\u00e1p DayFarm ra th\u1ecb tr\u01b0\u1eddng qu\u1ed1c t\u1ebf.<\/td>\n<\/tr>\n
        M\u1edf r\u1ed9ng R&D<\/strong><\/td>\nHi\u1ec7n t\u1ea1i<\/td>\nV\u1eadn h\u00e0nh trang tr\u1ea1i R&D t\u1ea1i Ho\u00e0nh Th\u00e0nh (H\u00e0n Qu\u1ed1c) v\u00e0 H\u1ed3 Ch\u00ed Minh\/\u0110\u1ed3ng Nai (Vi\u1ec7t Nam) v\u1edbi t\u1ed5ng \u0111\u00e0n l\u1ee3n h\u01a1n 5.000 con.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        Vi\u1ec7c tham gia CES 2024 v\u00e0 2025 cho th\u1ea5y s\u1ef1 t\u1ef1 tin c\u1ee7a TrackFarm trong vi\u1ec7c c\u1ea1nh tranh tr\u00ean s\u00e2n ch\u01a1i c\u00f4ng ngh\u1ec7 to\u00e0n c\u1ea7u, s\u1eed d\u1ee5ng kinh nghi\u1ec7m t\u00edch l\u0169y t\u1eeb th\u1ecb tr\u01b0\u1eddng Vi\u1ec7t Nam v\u00e0 H\u00e0n Qu\u1ed1c l\u00e0m b\u00e0n \u0111\u1ea1p.<\/p>\n

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

        VI. Ph\u00e2n T\u00edch Kh\u1ea3 N\u0103ng M\u1edf R\u1ed9ng v\u00e0 Th\u00e1ch Th\u1ee9c K\u1ef9 Thu\u1eadt<\/h2>\n

        \u0110\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c m\u1ee5c ti\u00eau “T\u1eeb S\u1ea3n Xu\u1ea5t \u0110\u1ebfn Ti\u00eau Th\u1ee5,” TrackFarm c\u1ea7n ph\u1ea3i \u0111\u1ea3m b\u1ea3o kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng c\u1ee7a h\u1ec7 th\u1ed1ng DayFarm v\u00e0 v\u01b0\u1ee3t qua c\u00e1c th\u00e1ch th\u1ee9c k\u1ef9 thu\u1eadt c\u1ed1 h\u1eefu.<\/p>\n

        6.1. Kh\u1ea3 N\u0103ng M\u1edf R\u1ed9ng (Scalability)<\/h3>\n

        Kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng c\u1ee7a DayFarm \u0111\u01b0\u1ee3c \u0111\u1ea3m b\u1ea3o b\u1edfi ki\u1ebfn tr\u00fac d\u1ef1a tr\u00ean \u0111\u00e1m m\u00e2y (Cloud-based architecture) v\u00e0 t\u00ednh m\u00f4-\u0111un c\u1ee7a ph\u1ea7n c\u1ee9ng IoT.<\/p>\n