Explore The Challenge Of Automatic Crop Monitoring

Abstract

Sustainable growth of the food system and reduced market volatility need access to timely, accurate, and actionable agricultural data for decision making in the present. Researchers have found that there are challenges with autonomous crop monitoring and that present approaches for identifying crop stress due to drought have limitations that prevent farmers from getting an accurate picture of their crops. Methods including real-time irrigation monitoring, automated crop selection, and Internet of Things (IoT)-based crop management are also proposed.