Abstract
India is the most populous country in the world hence the challenge of
feeding the growing population is a matter of concern. Indian economy is dependent
upon agriculture, which is affected by various factors viz. climate change, drought,
heavy rain, insect attacks, etc. A few decades ago, agricultural practices were
performed by conventional techniques only but in the present era, Artificial Intelligent
(AI) has been introduced in the agriculture sector which brought a tremendous
revolution in this field. According to the World Economic Forum (WEF), over 7,000
farmers in India use AI-based technologies in the agriculture field to improve the
productivity of crops, crop yield prediction, soil testing, crop monitoring, disease
diagnosis, spraying, prediction of weather, crop infestation alert, precision forming, etc.
There are more than 1000 agriculture-based start-ups in India that provide solutions in
different stages of farming. It may also be used to maintain records of crops, digital
marketing, market prediction, digital finance, micro insurance, etc. However, it takes a
very long time to achieve the goal because of a lack of access to data, a high cost of
operations, and a lack of technical experts. In the long run, AI-powered machines and
other techniques may provide benefits to the farmers in such a way that they can make
better decisions and benefit. In this chapter, various applications have been discussed in
the field of AI-based agriculture. Various challenges have also been discussed so that
the obstacles can be reduced to achieve our goal in the AI-based agriculture sector.