Computer Vision Systems in Livestock Farming, Poultry Farming, and Fish Farming

Abstract

Agriculture provides human facilities through raising plants and livestock. Agriculture fuels a sedentary lifestyle. Smart agriculture is new, and a number of farmers do not know what it means. The field of artificial intelligence (AI) known as “computer vision” analyzes visual data such as digital pictures, movies, and other visual inputs to form conclusions and recommendations. Computer vision is revolutionizing agriculture. Livestock, poultry, and fish farms should supply foods like meat, milk, eggs, and offal as 30% of the daily protein requirement. Thus, we require a precise and timely animal count. This technology makes cattle tracking and counting easy. Assessing and managing poultry welfare requires monitoring. Computer vision's wide variety of information and being non-intrusive make it an exciting new method for automating online poultry tracking and health monitoring. Reproduction in the aquaculture industry will require intelligent feeding methods in the future; its implementation will also be a priority. Computer vision as an intelligent feeding system is also evolving rapidly. The merging of the two systems will improve the state of aquaculture, and its potential growth depends on technology innovation and execution. Computer vision models can assess cow, pig, sheep, and hen closed-circuit television (CCTV) feeds to guarantee the best possible living conditions and social well-being. Insights can be gained via automating home management, analyzing behavior, predicting or detecting diseases, measuring weight, checking eggs for defects, counting fish, and so on. These AI-powered robots feed animals, collect eggs, and clean dung. After removing eggs that are near hatching, cracked, or unclean, they may count and package them automatically contain feathers and blood. Drones can observe environmental changes; offer fish stock statistics; and measure water oxygen, pH, salinity, and pollution. Farms and robots can use fish hunger sensors to better feed their fish. The ability for veterinarians to have continuous and potentially remote access to the data generated by the Internet of Things (IoT) embedded in the animals opens interesting possibilities for teleconsultation or tele-expertise capable of optimizing the health and well-being of the animals, especially in areas of medical deserts that are also used daily in non-desert areas. This chapter emphasizes the necessity of livestock, poultry, and fish farming systems based on computer vision technology. It identifies the hurdles or issues that still need to be resolved and also discusses the applications and use cases of this system.