{"id":2330,"date":"2022-08-12T15:37:57","date_gmt":"2022-08-12T10:37:57","guid":{"rendered":"https:\/\/testing.dicecamp.com\/insights\/?p=2330"},"modified":"2022-08-20T20:32:34","modified_gmt":"2022-08-20T15:32:34","slug":"ai-in-agriculture-which-cows-are-developing-disease","status":"publish","type":"post","link":"https:\/\/testing.dicecamp.com\/insights\/ai-in-agriculture-which-cows-are-developing-disease\/","title":{"rendered":"AI in Agriculture: Which cows are developing disease?"},"content":{"rendered":"\n

Artificial Intelligence (AI)<\/strong> is an inherently smart technology that has now been utilized in agriculture offering herders a cost effective way to detect and control lung disease in cows. <\/p>\n\n\n\n

For vets, disease detection has always been a daunting task especially in herds containing millions of cattle. Ranching; the practice of raising cows or other cattle in herds, is fastest growing agriculture sector and has been affected the most.<\/p>\n\n\n\n

A lack of smart veterinary strategy followed by limited anit-microbials had caused massive loss to the rural economy in the past<\/a> where many cows suffering from a Bovine Respiratory Disease (BRD)<\/a> lost life.<\/p>\n\n\n\n

Recently, a team of engineers from Flex livestock intelligence in collaboration with a US veterinarian – Merck Animal Health, came up with a smart idea of detecting cows with BRD leading to cost saving for herders in calling veterinary help and use of anti-microbes.  <\/p>\n\n\n\n

Named WHISPER, the AI powered solution can save 10-43% of anti-microbials use in cattle<\/a>. <\/p>\n\n\n\n

WHISPER\u00a9 on arrival.<\/h1>\n\n\n\n

In animal health, a data analytics<\/strong> based technology solution is called \u2018Precision animal health technology<\/a>\u2019. WHISPER is such a technology driven solution that has been tested at US ranches and comes out as a practical solution for monitoring individual animals.<\/p>\n\n\n\n

The solution is a wireless sensor-device<\/strong> that sticks on a cow and collects four types of data necessary for a diagnosis of BRD. These four data elements are; sounds of heart, sounds of breath, body temperature, and body weight.  <\/p>\n\n\n\n

A computer tablet could then be used, that installs WHISPER machine learning algorithm<\/strong>, to fuse the data into a single feature for BRD classification. Feature of individual cows are then matched with already trained data with labels as BRD and non-BRD.<\/p>\n\n\n\n

The outcome of the machine learning algorithm is a decision of \u201cTreat\u201d or \u201cDo Not Treat\u201d.<\/p>\n\n\n\n

WHISPER further saves cost and time by suggesting herders to use application for only those animals that are apparently under medium to high risk of developing Bovine Respiratory Disease (BRD). <\/p>\n\n\n\n

These groups are those which: have traveled long distances, have been kept in wet and cold weather for longer periods, or have unknown history of vaccination.<\/p>\n\n\n\n

The small water-proof cutout could be washed with water and needs to be cleaned regularly over the cow.<\/p>\n\n\n\n

The device uses Supervised Learning <\/h1>\n\n\n\n

Supervised learning<\/a> is an AI algorithm that matches a feature with already trained labeled data to reach a decision. Since identifying disease is apparently a classification problem, therefore supervised learning is best suited for the case. <\/p>\n\n\n\n

Given that sound recordings for BRD are not available in huge datasets, so the engineering solution relies on a just-enough dataset size for supervised learning applications.<\/p>\n\n\n\n

\u201cAs the dataset grows, we will always be looking to see what additional tools can come into use<\/em>.\u201d said Udi Cohen, Head of Global R&D, Merck Animal Health<\/a> Intelligence Technology Labs.<\/p>\n\n\n\n

WHISPER \u00a9 on Arrival is to see more features in future, as AI is expected to advance in animal health, where the device would be further developed to detect a variety of other cattle diseases. <\/p>\n\n\n\n

WHISPER\u00a9 at a glimpse! <\/h1>\n\n\n\n
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