Triticeae Genomics and Genetics, 2025, Vol.16, No.5, 195-202 http://cropscipublisher.com/index.php/tgg 195 Feature Review Open Access Application of Precision Agriculture Methods in Increasing Wheat Production Zhongying Liu, Wei Wang Institute of Life Sciences, Jiyang College of Zhejiang A&F University, Zhuji, 311800, Zhejiang, China Corresponding email: wei.wang@jicat.org Triticeae Genomics and Genetics, 2025, Vol.16, No.5 doi: 10.5376/tgg.2025.16.0021 Received: 16 Jul., 2025 Accepted: 28 Aug., 2025 Published: 10 Sep., 2025 Copyright © 2025 Liu and Wang, 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. Preferred citation for this article: Liu Z.L., and Wang W., 2025, Application of precision agriculture methods in increasing wheat production, Triticeae Genomics and Genetics, 16(5): 195-202 (doi: 10.5376/tgg.2025.16.0021) Abstract Wheat plays a critical role in global food security, yet its production faces significant challenges including yield stagnation and increasing environmental pressures. This study investigates the application of precision agriculture (PA) technologies to enhance wheat productivity while promoting sustainable practices. Key PA tools discussed include remote sensing, GPS-guided equipment, sensor networks, and data-driven decision support systems, all contributing to optimized irrigation, nutrient management, and integrated pest control. A case study from the Indo-Gangetic Plains illustrates tangible improvements in yield and resource efficiency following the implementation of PA strategies. The findings suggest that precision agriculture not only increases the economic return for wheat farmers but also mitigates environmental impacts. Moving forward, the integration of climate-smart approaches, automation, and enhanced farmer training will be pivotal in scaling PA adoption globally. Keywords Precision agriculture; Wheat production; Sustainable farming; Smart technologies; Yield optimization 1 Introduction Wheat is an important staple food in the world. It has a great impact on global food security. As the population continues to grow, the demand for wheat is also increasing. Therefore, we need to improve agricultural methods to meet future needs (Abideen et al., 2023). In order to increase production, we need to use some new methods, such as improving varieties, adjusting planting methods, and improving field management (Sharma et al., 2015). Now there are some new problems, such as climate change, new diseases, and soil deterioration, which also make us need to find good ways to increase wheat production. Precision agriculture is a relatively new agricultural method. It can use fertilizers and water reasonably according to different conditions in the field, helping farmers to grow crops better (Finco et al., 2023). Precision agriculture uses some modern technologies, such as sensors, computer systems, and data models, to help farmers make smarter decisions (Gebbers and Adamchuk, 2010). Because it determines how to apply fertilizer and irrigation according to the actual conditions of the plot, it can not only increase yields, but also reduce damage to the environment, and is also helpful for the development of green agriculture (Diacono et al., 2012). This study intends to explore the application of precision agriculture methods in increasing wheat yields. This study examines the effectiveness of precision agriculture technologies in improving yield stability and the ability to cope with climate change, as well as their role in improving nitrogen management and reducing environmental footprint. By analyzing the latest advances and challenges in precision agriculture, this study aims to explore how these methods can be used to meet the growing demand for wheat and ensure global food security. 2 Core technologies of Wheat Precision Agriculture 2.1 Remote sensing and satellite images Remote sensing and satellite images are an important part of precision agriculture. They can be used to observe the growth and health of wheat. These technologies can capture very clear ground images, and by analyzing these images, we can understand the growth status of wheat, such as indicators such as greenness (Shafi et al., 2019). Data such as NDVI (normalized difference vegetation index) and GCI (Chlorophyll index) have been shown to
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