BD-MangoYOLO: A Novel Lightweight Multi-Scale YOLO Framework for Occlusion-Robust Mango Detection in Complex Bangladesh Environments

Smart Agricultural Technology一手来源 · 原始研究11月1日 · 周日阅读 0

核心看点

面向复杂环境下遮挡芒果的轻量多尺度检测框架，方法有针对性但属单点技术改进，产业影响有限。

关注点

该框架针对孟加拉国复杂果园环境下的芒果遮挡问题提出轻量多尺度YOLO改进，其适用边界限于特定产区与品种，跨区域泛化能力尚待验证。

发布主体的原始资料；自述数据与结论仍以原文限定为准。

论文信息

Nibedita Deb / Tawfikur Rahman

Smart Agricultural Technology

DOI: 10.1016/j.atech.2026.102731

论文摘要

BD-MangoYOLO: A Novel Lightweight Multi-Scale YOLO Framework for Occlusion-Robust Mango Detection in Complex Bangladesh Environments。Smart Agricultural Technology

论文原文与出版信息

Smart Agricultural Technology

查看论文原文

继续探索

技术

农业人工智能目标检测

其他

智慧农业芒果遮挡识别

论文信息

论文摘要

继续探索

技术

其他

相关检索

相关阅读

Deep learning–based object detection for automated classification of ripe and unripe tomatoes in field conditions

Benchmarking one-stage object detectors for field-based detection of Flavescence dorée vectors

IMPLEMENTATION OF META-HEURISTIC OPTIMIZATION ALGORITHMS IN CONVOLUTIONAL NEURAL NETWORKS FOR OBJECT DETECTION AND CLASSIFICATION

Deep learning-based estimation of Kent mango yield by commercial export category under real field conditions in northern Peru

Ensemble YOLO architectures and UAV imagery for robust on-tree durian detection

MangoVQA: A Multi-Answer Visual Question Answering System for Grading SNI-Aligned Mango Quality using Deep Learning and Text Processing

ECL-YOLOv8: An improved YOLOv8-based algorithm for detecting cattle faces and muzzles in complex open pasture environments

Deep learning for real-time strawberry detection, ripeness classification, and picking point localization: a review of architectures, field studies, and open challenges

精准棉花病害管理：融合无人机影像与定制YOLO深度学习框架

多模型融合框架用于复杂果园环境下稳健芒果检测(原标题:A Multi-Model Fusion Framework for Robust Mango Detection in Complex Orchard Environments)

Peach-YOLO:基于改进YOLOv8与多注意力融合的复杂环境桃实时检测方法

[预印本] An Ordering Optimization for Fruit-Vegetable in High-Density Environment based on Genetic Algorithm

BiFormer-Enhanced YOLOv11n for Accurate Maize Ear Detection in Seed Production Fields(玉米穗识别 BiF-YOLO)

Fruit-OIC: An anti-occlusion flower and fruit detection algorithm for dragon fruit using dynamic case mining and global feature enhancement