A comprehensive review on machine learning in agriculture domain

Agriculture is an essential part of sustaining human life. Population growth, climate change, resource competition are the key issues that increase food security and to handle such complex problems in agriculture production, intelligent or smart farming extends incorporation technology into traditional notion. Machine learning a vitally used protect sustainability. Crop yield water preservation, soil health plant diseases can be addressed by machine learning. This paper has presented compendious review research papers deployed domain. The observed sub-categories domain crop prediction, management, pest weed disease. outcomes represent provides better accuracy concerning classification regression. emerged with internet things, drones, robots, automated machinery, satellite imagery motivates researchers for security.