Abstract

Effective management of crop pests is crucial due to their detrimental impact on productivity. Therefore, it is imperative to prioritize early detection and prevention strategies. Machine learning methodology is being employed to forecast crop pests by utilizing data from different modalities. The utilization of machine learning applications is significantly influencing the worldwide economy through the alteration of data processing techniques and decision-making processes. It devises effective techniques for automatically detecting, identifying, and forecasting pests and diseases in agricultural crops. The objective of this chapter is to enhance the advancement of smart farming and precision agriculture by advocating for the development of techniques that enable farmers to enhance the quality and yield of their crops.