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.
References
Leitão, D. A. H. S., S. Sidhu, W. Griffin, U. Ahmad, and L. Sharma. 2023. “Irrigated Corn Grain Yield Prediction in Florida Using Active Sensors and Plant Height.” Smart Agricultural Technology 5: 100276. https://doi.org/10.1016/j.atech.2023.100276
Mueller, S. M., and T. J. Vyn. 2017. “Indiana Soil and Water: The Effects of Late-Season Nitrogen Applications in Corn.” AY-364-W. Purdue Extension. https://www.extension.purdue.edu/extmedia/AY/AY-364-W.pdf
Nelson, E., and C. B. Congdon. 2016. “Measuring the Relative Importance of Different Agricultural Inputs to Global and Regional Crop Yield Growth Since 1975.” F1000Research 5: 2930. https://doi.org/10.12688/f1000research.10419.1
Panek, E., and D. Gozdowski. 2020. “Analysis of Relationship Between Cereal Yield and NDVI for Selected Regions of Europe Based on MODIS Satellite Data.” Remote Sensing Applications: Society and Environment 17: 100286. https://doi.org/10.1016/j.rsase.2019.100286
Sharma, L. K., and S. K. Bali. 2017. “A Review of Methods to Improve Nitrogen Use Efficiency in Agriculture.” Sustainability 10 (1): 51. https://doi.org/10.3390/su10010051
Varvel, G. E., W. Wilhelm, J. F. Shanahan, and J. S. Schepers. 2007. “An Algorithm for Corn Nitrogen Recommendations Using a Chlorophyll Meter Based Sufficiency Index.” Agronomy Journal 99 (3): 701–706. https://doi.org/10.2134/agronj2006.0190
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