ABSTRACT
Crop production, real-time monitoring, harvesting, processing, and marketing have all been enhanced by artificial intelligence. In order to identify numerous crucial criteria, including weed detection, yield detection, crop quality, and many more, various high-tech computer-based systems are created. In case of Agriculture automation, according to the definition, is the autonomous navigation of robots without human assistance that provides precise data to help develop agricultural operations. Others define it as the completion of production tasks using mobile, autonomous, and mechatronic machines that make decisions.
By maximising resource utilisation and avoiding environmental impact, smart farming aims to boost production quantity and quality in the agricultural and cattle industries. This is accomplished by utilising new technologies that have emerged at the start of the Fourth Industrial Revolution.
The employment of robotics, drones, sensors, and computer imagery combined with analytical tools for gaining insights and monitoring the farms applies IoT in agriculture through precision agriculture. Agricultural Security Areas (ASAs) are designed to ensure sustainable farming operations over the long term by bolstering the right to farm. They serve as a mechanism to protect farms and lands from non-agricultural activities. Software designed to safeguard its users’ privacy is known as privacy software. Usually, the programme coordinates with Internet use to limit or regulate the quantity of information made accessible to third parties. The software has different filtering and encryption options.
Practical Applications of AI in Agriculture including Crop and soil monitoring, Insect and plant disease detection, intelligent spraying, automatic weeding and Aerial survey and imaging are discussed in the chapter.
