A comparative study of fruit detection and counting methods for yield mapping in apple orchards

• Published in: Journal of field robotics Vol. 37; no. 2; pp. 263 - 282
• Main Authors: Häni, Nicolai, Roy, Pravakar, Isler, Volkan
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc 01.03.2020
• Subjects: agriculture; Comparative studies; Datasets; Deep learning; Fruits; Identification methods; learning; Machine learning; Mapping; Modular systems; Orchards; perception; Probabilistic models; Semantic segmentation

We present a modular end‐to‐end system for yield estimation in apple orchards. Our goal is to identify fruit detection and counting methods with the best performance for this task. We propose a novel semantic segmentation‐based approach for fruit detection and counting and perform extensive comparat...