Unlocking the Potential of Technology: Estimating Nitrogen Requirement in Corn Using Optical Sensors

In the domain of agriculture, the application of optical sensing technology has become increasingly prevalent in the assessment of corn grain production. However, it is notable that comprehensive research endeavors addressing the efficacy of employing the Normalized Difference Vegetation Index (NDVI) as a predictive tool for corn grain yield in the specific context of Florida remain limited. To address this gap in knowledge, a dedicated study focusing on nitrogen (N) rates was meticulously designed in 2022. The primary objective of this study was to provide critical insights and empirical evidence to both our extension agents and the community of corn farmers. Its overarching aim is to elucidate the practical utility of NDVI sensors in forecasting crop output and facilitating precise estimations of N requirements.

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Publication Details

Journal
EDIS
Published
2025-02-06
DOI
https://doi.org/10.32473/edis-ss740-2025
Citations
1
Primary Topic
Crop Yield and Soil Fertility
Type
article
Field-Weighted Citation Impact
1.90
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article

Unlocking the Potential of Technology: Estimating Nitrogen Requirement in Corn Using Optical Sensors

Diego Arruda Huggins de Sá Leitão, Hardeep Singh, Lakesh K. Sharma
1 citations
EDIS
Crop Yield and Soil Fertility
1.90
article

Unlocking the Potential of Technology: Estimating Nitrogen Requirement in Corn Using Optical Sensors

Diego Arruda Huggins de Sá Leitão, Hardeep Singh, Lakesh K. Sharma
article en
1 citations

Abstract

In the domain of agriculture, the application of optical sensing technology has become increasingly prevalent in the assessment of corn grain production. However, it is notable that comprehensive research endeavors addressing the efficacy of employing the Normalized Difference Vegetation Index (NDVI) as a predictive tool for corn grain yield in the specific context of Florida remain limited. To address this gap in knowledge, a dedicated study focusing on nitrogen (N) rates was meticulously designed in 2022. The primary objective of this study was to provide critical insights and empirical evidence to both our extension agents and the community of corn farmers. Its overarching aim is to elucidate the practical utility of NDVI sensors in forecasting crop output and facilitating precise estimations of N requirements.

EDISVol. 2025(1)
Florida Department of Education (US), University of Florida (US)
Openalex Percentile: Top 19%
Crop Yield and Soil Fertility
1.90
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