Paper
28 January 2002 Precision farming through variable fertilizer application by automated detailed tracking of in-season crop properties
Mieke Reyniers, Els Vrindts, Koenraad Dumont, Josse De Baerdemaeker
Author Affiliations +
Proceedings Volume 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III; (2002) https://doi.org/10.1117/12.454210
Event: International Symposium on Remote Sensing, 2001, Toulouse, France
Abstract
What is lacking in precision farming at present, are more comprehensive and non-destructive methods for obtaining the data needed to prescribe variable treatments. A farmer needs to be informed in order to be efficient, and that includes having the knowledge and information products to forge a viable strategy for farming operations. Current remote sensing (satellite images) sources are too coarse in multispectral spatial resolution and too infrequent in time to allow detailed tracking of phenological stages during the growing season. In this research very detailed and automated on-the-go optical monitoring of the crop is used for detecting and managing zones with different crop yield potential on a seasonal scale. In particular, reflectance properties are used to identify and evaluate optical indicators of the nutritional status of the crop. These indicators should allow site-specific in-seasonal correction of N-application to come to optimal crop yield all over the field. Based on these indicators, site-specific fertilization is done with a variable fertilizer equipped with DGPS. At the end of the season, the crop was harvested with a combine harvester, equipped with precision farming sensors to map final crop yield. In this way final results could be evaluated and analyzed.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mieke Reyniers, Els Vrindts, Koenraad Dumont, and Josse De Baerdemaeker "Precision farming through variable fertilizer application by automated detailed tracking of in-season crop properties", Proc. SPIE 4542, Remote Sensing for Agriculture, Ecosystems, and Hydrology III, (28 January 2002); https://doi.org/10.1117/12.454210
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Cited by 2 scholarly publications.
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KEYWORDS
Nitrogen

Reflectivity

Optical testing

Remote sensing

Agriculture

Sensors

Neodymium

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