Combining remote sensing-derived management zones and an auto-calibrated crop simulation model to determine optimal nitrogen fertilizer rates

Stephen Leo, Massimiliano De Antoni Migliorati, Trung H. Nguyen and Peter R. Grace

Agricultural Systems, 2023, vol. 205, issue C

Abstract: Cotton is an economically important crop in Australia that requires high resource application, particularly that of nitrogen (N) fertilizers. Determining optimal N fertilizer rates that reach both economic and environmental objectives is a key challenge in cotton systems because of the inherent within-field variability and relatively low N fertilizer use efficiency (NFUE).

Keywords: Cotton; Nitrogen; DSSAT; Remote sensing; Management zones; Auto-calibration (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:205:y:2023:i:c:s0308521x22001950

DOI: 10.1016/j.agsy.2022.103559

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