The Application of Computer Vision Technology in the Field of Agricultural Automation

Authors

  • Xue Gao Hubei Xiaogan Meijia Vocational College, Wuhan 430070, Hubei

DOI:

https://doi.org/10.53469/jtpms.2025.05(6).08

Keywords:

Computer vision, Agricultural automation, Crop monitoring, Intelligent agricultural machinery

Abstract

With the rapid development of artificial intelligence and machine learning technology, computer vision has become an important driving force in the field of agricultural automation. This article explores the application of computer vision technology in agricultural automation, including crop pest and disease detection, harvesting robot navigation, crop growth monitoring, and automation control of agricultural machinery. The article analyzes the technical principles and practical effects of these applications, while pointing out the challenges and coping strategies in the implementation process. Finally, the article predicts the future development trend of computer vision in the field of agricultural automation, emphasizing its important role in promoting agricultural modernization and improving production efficiency.

References

Thao, Phan Nguyen Minh, et al. "Medfuse: Multimodal ehr data fusion with masked lab-test modeling and large language models." Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. 2024.

Restrepo, David, et al. "Representation Learning of Lab Values via Masked AutoEncoder." arXiv preprint arXiv:2501.02648 (2025).

Hsu, Hsin-Ling, et al. "MEDPLAN: A Two-Stage RAG-Based System for Personalized Medical Plan Generation." arXiv preprint arXiv:2503.17900 (2025).

Ding, Cheng, et al. "Advances in deep learning for personalized ECG diagnostics: A systematic review addressing inter-patient variability and generalization constraints." Biosensors and Bioelectronics (2024): 117073.

Restrepo, David, et al. "Seeing beyond borders: Evaluating llms in multilingual ophthalmological question answering." 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI). IEEE, 2024.

Wu, Chenwei, et al. "Dynamic Modeling of Patients, Modalities and Tasks via Multi-modal Multi-task Mixture of Experts." The Thirteenth International Conference on Learning Representations.

Pal, P. et al. 2025. AI-Based Credit Risk Assessment and Intelligent Matching Mechanism in Supply Chain Finance. Journal of Theory and Practice in Economics and Management. 2, 3 (May 2025), 1–9. DOI:https://doi.org/10.5281/zenodo.15368771

Peng, Qucheng, Ce Zheng, and Chen Chen. "Source-free domain adaptive human pose estimation." Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.

Pinyoanuntapong, Ekkasit, et al. "Gaitsada: Self-aligned domain adaptation for mmwave gait recognition." 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS). IEEE, 2023.

Zheng, Ce, et al. "Diffmesh: A motion-aware diffusion framework for human mesh recovery from videos." 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE, 2025.

Zhang, Shengyuan, et al. "Research on machine learning-based anomaly detection techniques in biomechanical big data environments." Molecular & Cellular Biomechanics 22.3 (2025): 669-669.

Fang, Z. (2025). Adaptive QoS‐Aware Cloud–Edge Collaborative Architecture for Real‐Time Smart Water Service Management.

Qi, R. (2025). Interpretable Slow-Moving Inventory Forecasting: A Hybrid Neural Network Approach with Interactive Visualization.

Wang, Y. (2025). RAGNet: Transformer-GNN-Enhanced Cox–Logistic Hybrid Model for Rheumatoid Arthritis Risk Prediction.

Zhou, Dianyi, et al. "Research on LSTM-driven UAV path planning." Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024). Vol. 13416. SPIE, 2024.

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Published

2025-06-20

How to Cite

Gao, X. (2025). The Application of Computer Vision Technology in the Field of Agricultural Automation. Journal of Theory and Practice of Management Science, 5(6), 40–44. https://doi.org/10.53469/jtpms.2025.05(6).08