Trends and Prospect of Machine Vision Technology for Stresses and Diseases Detection in Precision Agriculture

Introducing machine vision-based automation to the agricultural sector is essential to meet the food demand of a rapidly growing population. Furthermore, extensive labor and time are required in agriculture; hence, agriculture automation is a major concern and an emerging subject. Machine vision-based automation can improve productivity and quality by reducing errors and adding flexibility to the work process. Primarily, machine vision technology has been used to develop crop production systems by detecting diseases more efficiently. This review provides a comprehensive overview of machine vision applications for stress/disease detection on crops, leaves, fruits, and vegetables with an exploration of new technology trends as well as the future expectation in precision agriculture. In conclusion, research on the advanced machine vision system is expected to develop the overall agricultural management system and provide rich recommendations and insights into decision-making for farmers.

Automated summary

Introducing machine vision-based automation is essential to meet the food demand of a growing population in agriculture. It can improve productivity and quality by reducing errors and adding flexibility to the work process. Research on advanced machine vision systems is expected to develop overall agricultural management and provide valuable recommendations for farmers.