Predictive Analytics for High-Tech Agriculture

Abstract

Agriculture carries greater risk than nearly any other sector. In agriculture, the proverb “you harvest what you sow” is not necessarily true. Because there is so much going on at the farm, it is very challenging for farmers to concentrate on all the everyday concerns such as weather, crop disease, commodity pricing, and fertilization schedules. In order to fulfil these rising needs, farmers must also produce more food with the limited water and land resources available due to the growing global population and food consumption. There will be a huge increase in the number of people to feed in 30 years; thus, agricultural methods must change to match the need. Researchers and scientists are now working to implement new IoT technologies in smart farming to assist farmers in creating better seeds, crop protection, and fertilizers using AI technology. Both the country's general economy and the profitability of farmers will benefit from this. This chapter discusses predictive agriculture, its need, advantages, challenges, and future of predictive analytics in agriculture.