The Use of Computer Vision in Precision Agriculture


DOI: https://doi.org/10.15308/Sinteza-2023-60-65
Authors:
Vesna Radojčić
Aleksandar Sandro Cvetković
Miloš Dobrojević

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Keywords:
Computer Vision, Algorithms, Technology, Machine Learning, Agriculture


Abstract:
Precision agriculture is an innovative farming method that aims to maximize crop yields while minimizing waste. One of the key technologies used in precision agriculture is computer vision, which involves using cameras and sensors to collect data on crop growth and health. This data is then analyzed using machine learning algorithms to provide insights on how to optimize farming practices and improve yields. In this article, we provide an in-depth analysis of the role of computer vision in precision agriculture, with a focus on its applications in crop monitoring, the various types of cameras and sensors utilized in computer vision systems, and the diverse machine-learning algorithms employed to analyze the data collected. Through this analysis, we aim to offer a comprehensive overview of the potential of computer vision to revolutionize the way we grow and harvest crops, and the impact it could have on the future of agriculture.

CITATION:

IEEE format

V. Radojčić, A. Sandro Cvetković, M. Dobrojević, “The Use of Computer Vision in Precision Agriculture,” in Sinteza 2023 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2023, pp. 60-65. doi:10.15308/Sinteza-2023-60-65

APA format

Radojčić, V., Sandro Cvetković, A., Dobrojević, M. (2023). The Use of Computer Vision in Precision Agriculture. Paper presented at Sinteza 2023 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2023-60-65

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