A Survey on a Model for Pesticide Recommendation using Machine Learning

Pesticides are necessary to ensure the security ofthe world’s food supply by boosting agricultural productivityand crop yields. Nonetheless, the excessive and improper use of these chemicals poses grave threats to human health, wildlife,and the fragile ecological balance. The development of accurate and efficient pesticide recommendation systems is vital for mitigating these environmental and health-related risks while sustaining necessary agricultural productivity. This survey paper provides a comprehensive summary of the several machine learning algorithms that have been applied for the purpose of pesticide recommendation, highlighting their capabilities, limitations, and possible directions for future study and development in this criticalfield.