Machine learning for modern farming- A review

Agriculture is vital to any country's economic growth. With a growing population, erratic weather patterns, and limited resources, feeding the current population has become a challenge. Hence the field of agriculture needs to be modernized and optimized to meet the growing food demands in the present and future era. Machine learning, a subset of artificial intelligence, holds great promise for knowledge-based farming. Agricultural researchers are currently using image processing to identify several plant species and diseases. This review discusses the various applications in machine learning and how agri-knowledge can enhance productivity and sustainability. Also, the paper provides a latest review demonstrating the work related to application of machine learning in agriculture. The modest contributions of ML illustrate the need for this article to identify the opportunities, challenges, and prospects for ML applications in agriculture.