ival needs of millions of people. AI, in form of machine learning and deep learning, is capable of providing a number of strategies that assist in the creation of more healthy seeds. This paper discusses significance of machine learning and deep learning that growers can use to gain access to increasingly sophisticated data and analytical tools, allowing them to make better decisions, improve efficiencies, and reduce wastes in food and bio-fuel production while minimizing negative environmental impacts. On the basis of critical parameters like temperature, rainfall, humidity, soil type, soil characteristics etc., ML and DL operate as recommenders and advise farmers to take the right action. Numerous AI applications in agriculture are addressed, with an emphasis on yield prediction. The article offers a comprehensive review of a variety of ML, DL and hybrid methodologies for correctly forecasting agricultural outputs that will promote the nation's economic growth.
Authors: Priyanka Sharma, Pankaj Dadheech
DOI: https://doi.org/10.5109/7160906
Publish Year: 2023
