Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion

Apple yield estimation is a critical task in precision agriculture, challenged by complex tree canopy structures, growth stage variability, and orchard heterogeneity. In this study, we apply multi-source feature fusion by combining vegetation indices from UAV remote sensing imagery, structural featu...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 25; no. 10; p. 3140
Main Authors:	Cui, Wenhao, Lan, Yubin, Li, Jingqian, Yang, Lei, Zhou, Qi, Han, Guotao, Xiao, Xiao, Zhao, Jing, Qiao, Yongliang
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 15.05.2025 MDPI
Subjects:	Accuracy Agricultural production Agriculture Agriculture - methods Algorithms Apple apple yield estimation Artificial intelligence CBAM-ECA-DeepLabv3+ model Chlorophyll Citrus fruits Comparative analysis Crop yields Deep learning Fruit - growth & development Identification and classification Image Processing, Computer-Assisted - methods Image segmentation Least-Squares Analysis Leaves Machine learning Malus - growth & development Measurement Methods multi-source feature fusion Neural networks Plant Leaves Remote sensing Remote Sensing Technology - methods semantic segmentation Semantics Smartphones Support Vector Machine Trees UAV remote sensing imagery Vegetation China CBAM-ECA-DeepLabv3+ model multi-source feature fusion apple yield estimation UAV remote sensing imagery support vector machine semantic segmentation
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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