An active-optical reflectance sensor in-field testing for the prediction of winter wheat harvest metrics

The ambition of this study was to justify the possibility of wheat trait prediction using NDVI from a newly developed Plant-O-Meter sensor. Acquired data from Plant-O-Meter was matched with GreenSeeker's, which was designated as a reference. The experiment was carried out in the field during th...

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Veröffentlicht in:Journal of agricultural engineering (Pisa, Italy) Italy), 2024-02
Hauptverfasser: Kostić, Marko Milan, Ljubičić, Nataša, Aćin, Vladimir, Mirosavljević, Milan, Budjen, Maša, Rajković, Miloš, Dedović, Nebojša
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Sprache:eng
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Zusammenfassung:The ambition of this study was to justify the possibility of wheat trait prediction using NDVI from a newly developed Plant-O-Meter sensor. Acquired data from Plant-O-Meter was matched with GreenSeeker's, which was designated as a reference. The experiment was carried out in the field during the 2022 growing season at the long-term experimental field. The experimental design included five different winter wheat genotypes and 20 different NPK fertilizer treatments. The GreenSeeker sensor always gave out NDVI values that were higher than those of the Plant-O-Meter by, on average, 0.029 (6.36%). The Plant-O-Meter sensor recorded similar NDVI values (94% of the variation is explained, p
ISSN:1974-7071
2239-6268
DOI:10.4081/jae.2024.1559