Research and Experiments on Adaptive Root Cutting Using a Garlic Harvester Based on a Convolutional Neural Network

Research and Experiments on Adaptive Root Cutting Using a Garlic Harvester Based on a Convolutional Neural Network

Aimed at the problems of a high leakage rate, a high cutting injury rate, and uneven root cutting in the existing combined garlic harvesting and root-cutting technology, we researched the key technologies used in a garlic harvester for adaptive root cutting based on machine vision. Firstly, research...

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Bibliographic Details
Main Authors: Ke Yang, Yunlong Zhou, Hengliang Shi, Rui Yao, Zhaoyang Yu, Yanhua Zhang, Baoliang Peng, Jiali Fan, Zhichao Hu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Agriculture
Subjects:
garlic
adaptive root cutting
cutting height control
harvester
object detection
Online Access:https://www.mdpi.com/2077-0472/14/12/2236
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