Fruit Detection and Recognition Based on Deep Learning for Automatic Harvesting: An Overview and Review

• Published in: Agronomy (Basel) Vol. 13; no. 6; p. 1625
• Main Authors: Xiao, Feng, Wang, Haibin, Xu, Yueqin, Zhang, Ruiqing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2023
• Subjects: Agriculture; agronomy; Artificial neural networks; automatic harvesting; Automation; Cameras; Classification; computer vision; Crop diseases; Cultivars; current challenge; data collection; Deep learning; Detectors; fruit detection; fruit recognition; Fruits; Harvest; Harvesting; Internet of Things; Machine learning; Neural networks; Plant diseases; Recognition; Researchers; Robotics; Target detection; vision; China

Continuing progress in machine learning (ML) has led to significant advancements in agricultural tasks. Due to its strong ability to extract high-dimensional features from fruit images, deep learning (DL) is widely used in fruit detection and automatic harvesting. Convolutional neural networks (CNN)...