AICropCAM: An Imaging System for Crop Classification, Segmentation, Recognition, and Counting Using Edge Computing and Stacked Deep Learning Models
Precision agriculture is expected to meet future human demands for food, feed, fiber, and fuel while maintaining sustainability and environmental friendliness. Precision agriculture largely relies on sensors and corresponding data processing technologies to provide decision support for planting, irrigation, fertilization, pesticide application, and harvesting. Compared with traditional point sensors, imaging sensors combined with artificial intelligence … Read more