Artificial Intelligence (AI): A prospective frontier area in the field of livestock and aquaculture
Olipriya Biswas, Sanket Biswas, A. Goswami
- 发表年份
- 2023
- 引用次数
- 2
- 访问权限
- 开放获取
摘要
Artificial Intelligence (AI) is going to give a shape of future livestock and aquatic farming systems not only in India but throughout the Globe in the very near future.The tools of AI are set to revolutionize farming avocation by incorporating different systems through drones, robots, and intelligent monitoring technology.With rising demand for higher yields from farm and aquatic animals, AI is becoming an indispensable tool in modern farming practices.Considering its tremendous potentiality, various prospects of AI in different animal husbandry sectors, such as as-Automated Milking, Smart Farming for Cows, AI for Health Check-ups, Spotting Reproductive Signs, Rob shots for Cows, Safe Food Journey, Clever Data Collection, Super Food for Dairy animals, Faces that Tell Stories, Cameras that Watch Over Meals were reviewed with various available literature and resources.Simultaneously, prospects and possible applications of AI in various aquaculture sectors like-AI based Aquatic Feeding Devices, Fish Seed Screening, Routine Check-ups of fish seed Stocks, Prevention of Fish Diseases, Processing of Fish, Shrimp Culture and supply Chain, Smartphone Applications, Drones in Aquaculture, Open Sea Fisheries, Endangered Fish Conservation were also explored and reviewed.The study signifies that, with judicious application, AI has the capacity to spur a rapid upsurge in aquaculture and livestock development.So, with the continuous advancement and intensification of the livestock and aquaculture sector, the incorporation of AI appears to be an inevitable and pivotal step.It can be a potential tool to mitigate the ever-increasing protein hunger of the thriving population of the world, there to save them from malnutrition.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992