Automated Counting Grains on the Rice Panicle Based on Deep Learning Method.

Abstract excerpt

Grain number per rice panicle, which directly determines grain yield, is an important agronomic trait for rice breeding and yield-related research. However, manually counting grains of rice per panicle is time-consuming, laborious, and error-prone. In this research, a grain detection model was proposed to automatically recognize and count grains on primary branches of a rice panicle. The model used image analysis...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Automation
• Share to Deep Learning
• Share to Edible Grain