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5 Results Found

  • Article
  • Open Access
9 Citations
2,754 Views
23 Pages

20 August 2024

The rapid and accurate detection of Chinese flowering cabbage ripeness and the counting of Chinese flowering cabbage are fundamental for timely harvesting, yield prediction, and field management. The complexity of the existing model structures somewh...

(This article belongs to the Special Issue Advanced Machine Learning in Agriculture)
  • Article
  • Open Access
13 Citations
3,276 Views
20 Pages

Improved YOLO v7 for Sustainable Agriculture Significantly Improves Precision Rate for Chinese Cabbage (Brassica pekinensis Rupr.) Seedling Belt (CCSB) Detection

  • Xiaomei Gao,
  • Gang Wang,
  • Jiangtao Qi,
  • Qingxia (Jenny) Wang and ,
  • Meiqi Xiang,
  • Kexin Song and
  • Zihao Zhou
  • + 2 authors+ 0 author

3 June 2024

Precise navigation in agricultural applications necessitates accurate guidance from the seedling belt, which the Global Positioning System (GPS) alone cannot provide. The overlapping leaves of Chinese cabbage (Brassica pekinensis Rupr.) present signi...

(This article belongs to the Section Sustainable Agriculture)
  • Article
  • Open Access
955 Views
23 Pages

A Precision Weeding System for Cabbage Seedling Stage

  • Pei Wang,
  • Weiyue Chen,
  • Qi Niu,
  • Chengsong Li and ,
  • Yuheng Yang and
  • Hui Li
  • + 1 author+ 0 author

This study developed an integrated vision–actuation system for precision weeding in indoor soil bin environments, with cabbage as a case example. The system integrates lightweight object detection, 3D co-ordinate mapping, path planning, and a t...

(This article belongs to the Special Issue Automation Strategy Using Machine Learning in Horticultural Crop Cultivation)
  • Article
  • Open Access
5 Citations
2,457 Views
26 Pages

Development of an Intelligent Inspection System Based on YOLOv7 for Real-Time Detection of Foreign Materials in Fresh-Cut Vegetables

  • Hary Kurniawan,
  • Muhammad Akbar Andi Arief,
  • Braja Manggala,
  • Hangi Kim and ,
  • Sangjun Lee,
  • Moon S. Kim,
  • Insuck Baek and
  • Byoung-Kwan Cho
  • + 3 authors+ 0 author

4 November 2025

Ensuring food safety in fresh-cut vegetables is essential due to the frequent presence of foreign material (FM) that threatens consumer health and product quality. This study presents a real-time FM detection system developed using the YOLO object de...

(This article belongs to the Section Artificial Intelligence and Digital Agriculture)
  • Article
  • Open Access
1 Citations
1,968 Views
30 Pages

YOLO-SGD: Precision-Oriented Intelligent Detection of Seed Germination Completion

  • Tianyu Yang,
  • Bo Peng,
  • Li You,
  • Jun Zhang and ,
  • Dongfang Zhang,
  • Yulei Shang and
  • Xiaofei Fan
  • + 2 authors+ 0 author

8 September 2025

The seed-germination percentage is an important indicator of the seed viability and growth potential and has important implications for plant breeding and agricultural production. Thus, to increase the speed and accuracy in measuring the completion o...

(This article belongs to the Section Precision and Digital Agriculture)