Because the manual counting of soybean (Glycine max) plants, pods, and seeds/pods is
unsuitable for soybean yield predictions, alternative methods are desired. Therefore, the …

The aim was to evaluate if maize (Zea mays L.) grain and silage yield can be estimated from
unmanned aerial systems (UAS) imagery. A fixed-wing UAS was used to collect imagery …

On-farm experimentation (OFE) allows farmers to improve crop management over time. The
randomized complete blocks design (RCBD) with field-length strips as individual plots is …

CONTEXT Reliable stability zone delineation requires considering spatial variability from
each year and temporal variability across at least three years. Yet, in cases where farms lack …

Background Cannabis is a historically, culturally, and economically significant crop in
human societies, owing to its versatile applications in both industry and medicine. Over …

Canola (Brassica napus L.) yield prediction using a combined application of small
unmanned aerial system (sUAS) and vegetation indices (VIs) have gained significant …

Corn (Zea mays L.) silage yield monitor data offer crucial insights into spatial and temporal
yield variability. However, equipment's sensor malfunctioning can result in data loss, and …

Agricultural spatial analysis has the potential to offer new ways of analyzing crop data
considering the spatial information of the measurements. Moving from farmers' estimates …

Block Kriging (a spatial interpolation method) and log10 transformation were compared for
their effectiveness in reducing relative variance (coefficient of variance: CV) and estimate …

The operationalization of precision agriculture imaging-based systems, especially in staple
crops like maize (Zea mays L.), requires a quantitative comparison of yield forecast …