Multispectral remote sensing in participatory on-farm variety trials (OK-Net Arable Practice Abstract)

Summary in the original language of the document

On the one hand, through the analysis of remote sensing images, it was possible to determine weed infestation, field heterogeneity and NDVI values/pixel (app. 1 cm per pixel). In some cases, we even discovered previously unknown underground field objects (e.g. a drainage system from the 70s).
On the other hand, NDVI data did not correlate with traditional sampling results (SPAD values and yield estimations), probably because the multicopter covered 100 % of the large plot area, while sampling only provided data from specific points (50 SPAD points/plot and three yield sampling quadrats/plot). We can thus assume that for large plot variety trials, remote sensing can give substantially more precise results than traditional sampling methods. Further tests are needed to prove this assumption.
Practical recommendations
• A multicopter with a RGB and NIR camera was tested on four organic on-farm research sites in Hungary. Farm-scale plots (cc. 120 m2 per variety) were set up with 8 to 15 winter wheat varieties per farm.
• Data collection was performed at flowering/anthesis, on a sunny day, between 11 am and 1 pm (sun position, wind and clouds can highly affect image capturing).
• Ground data validation (chlorophyll readings (SPAD) from 50 randomly selected flag leaves/plot), phytopathology and weed bonitation were performed at the same time as image capturing (<1 cm resolution).
• 3 x 1 m2 yield sampling squares per plot were collected at harvest for quantitative and qualitative yield estimation.
• Validation sample numbers (SPAD, squares) were most probably too small to assess field heterogeneity correctly and to validate remote sensing (NDVI-Normalized Difference Vegetation Index) results.