Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification-Reference-Cited by-同舟云学术

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Smart solutions for capsicum Harvesting: Unleashing the power of YOLO for Detection, Segmentation, growth stage Classification, Counting, and real-time mobile identification

Published:2024-04 Issue: Volume:219 Page:108832
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Paul Ayan^ORCID,Machavaram Rajendra,Ambuj ,Kumar Dheeraj,Nagar Harsh

Publisher

Elsevier BV

Reference56 articles.

1. Real-time monitoring method of strawberry fruit growth state based on YOLO improved model;An;IEEE Access,2022

2. Controlled lighting and illumination-independent target detection for real-time cost-efficient applications. The case study of sweet pepper robotic harvesting;Arad;Sensors,2019

3. Detection, classification, and mapping of coffee fruits during harvest with computer vision;Bazame;Comput. Electron. Agric.,2021

4. Reprint of: A convolutional neural network approach to detecting fruit physiological disorders and maturity in ‘Abbé Fétel’pears;Bonora;Biosyst. Eng.,2022

5. Image fusion of visible and thermal images for fruit detection;Bulanon;Biosyst. Eng.,2009

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1. A Review on the High-Efficiency Detection and Precision Positioning Technology Application of Agricultural Robots;Processes;2024-08-28

2. Segmenting hydrogen‐induced cracking defects in steel through scanning acoustic microscopy and deep neural networks;Engineering Reports;2024-08-05

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