Publication date: 21-11-2025
Extent: 26 pages
Contributions by:
D.B. Arnall, S. Sharma and R. Sharry, Oklahoma State University, USA; G.R. Balboa, University of Nebraska, USA; N. M. Fiorellino, University of Maryland, USA; A. Kafle and K. Lewis, Texas A&M University, USA; and V. Reed, Mississippi State University, USAChapter synopsis: In agriculture, SS nutrient management systems have emerged as pivotal tools for enhancing productivity and sustainability. These systems, grounded in the principles of precision agriculture, aim to tailor nutrient application to the unique characteristics of individual field zones, ensuring optimal resource use and profit maximization while mitigating environmental impacts. The adoption of SS nutrient management represents a departure from traditional uniform application methods, trying to address the spatial and temporal variability inherent in landscapes. By integrating advanced technologies such as crop sensors, models, and machine learning, these systems provide farmers with the tools to make data-driven decisions that balance economic gains with environmental stewardship. This chapter explores the advancements, challenges, and applications of SS nutrient management. It delves into their economic considerations, technological developments, and potential to impact agriculture globally. The goal is to present an overview of how these systems can support sustainable and profitable farming in diverse systems.
DOI:
10.19103/AS.2025.152.16