Knowledge sharing from ÖMKi, Hungary

Multispectral remote sensing for organic wheat variety trials


In participatory on-farm variety trials there is usually no possibility to set up a randomized, complete block design to collect eligible scientific results due to the lack of space, time, and equipment of organic arable farmers.

Through the analysis of remote sensing images, it was possible to determine weed infestation, field heterogeneity and NDVI values/pixel (app. 1 cm/pixel). On the other hand, NDVI data did not correlate with traditional sampling results (SPAD values and yield estimations).

SPAD - Soil Plant Analysis Development

NDVI - Normalized Difference Vegetation Index

Further description

Wheat variety trials were conducted in 2017 on 4 organic on-farm research sites in Hungary characterized by different soil conditions.

Farm-scale plots (cc. 120 m2/variety) were set-up together with farmers and ÖMKis research coordinator with 8-15 winter wheat varieties per farm. Multispectral data capturing were performed and analyzed in collaborating with Statistical and Biological Physics Research Group staff from Eötvös Lóránd University.

RGB – photo taken by our drone using the visual spectrums (RGB - Red Green Blue)
NDVI – photo taken by our drone on the same field using the Normalized Difference Vegetation Index (NDVI). Different colours represent the difference greenness of the vegetation.
ÖMKi – Hungarian Research Institute of Organic Agriculture
Dr. Dóra Drexler
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