Yuting Zhong^1,2 , Shuiliang Zhong¹

1 Hangzhou Shuiliang Vegetable Professional Cooperative，Xiaoshan, 311202, Zhejiang, China
2 Zhejiang Agronomist College, Hangzhou, 311202, Zhejiang, China
Author    Correspondence author
Biological Evidence, 2024, Vol. 14, No. 6   doi: 10.5376/be.2024.14.0027
Received: 25 Sep., 2024    Accepted: 03 Nov., 2024    Published: 17 Nov., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Zhong Y.T., and Zhong S.L., 2024, Development of precision agriculture techniques for soybean yield improvement, Bioscience Evidence, 14(6): 260-269 (doi: 10.5376/be.2024.14.0027)

Precision agriculture (PA) has emerged as a transformative approach to optimizing crop production, particularly for high-value crops like soybean. With the growing demand for increased soybean yields to meet global food security needs, PA technologies offer promising solutions for enhancing productivity, sustainability, and environmental stewardship. This study examines the application of various precision agriculture techniques in soybean farming, focusing on the integration of GPS, GIS, remote sensing, soil sensors, variable rate technology (VRT), and automation to improve yield efficiency. A case study of a soybean farm in the Midwest highlights the successful implementation of these technologies, demonstrating significant improvements in yield and resource management. Additionally, the study explores the role of data analytics, decision support systems, and machine learning in optimizing farm management decisions. Economic and environmental impacts, including cost-benefit analysis and sustainability, are also discussed. The findings suggest that while the adoption of precision agriculture can lead to substantial economic gains and environmental benefits, challenges remain in widespread adoption. This research provides a comprehensive overview of the potential of precision agriculture to revolutionize soybean farming, while outlining future directions for further innovation and adoption in the sector.

Precision agriculture; Soybean; Yield improvement; GPS/GIS; Remote sensing; Sustainability