On-farm experimentation (OFE) embeds the conduct of agronomic research within normal
farm business operations such that experiments are driven by farmers' needs for business …

Remote sensing from optical radiometers in space offers a nondestructive approach to
estimating above ground biomass (AGB) with high spatial and temporal resolution, but the …

Abstract Machine learning (ML) and its branch, deep learning (DL), is rapidly evolving and
gaining popularity as it outperforms other, more traditional methods in different areas of …

During the past few decades, a range of digital strategies for Nitrogen (N) management
using various types of input data and recommendation frameworks have been developed …

In a precision agriculture context, the amount of geospatial data available can be difficult to
interpret in order to understand the crop variability within a given terrain parcel, raising the …

Continuous canopy status monitoring is an essential factor to support and precisely apply
orchard management actions such as pruning, pesticide and foliar treatment applications, or …

One of the challenges in orchard management, in particular of hedgerow tree plantations, is
the delineation of management zones on the bases of high-precision data. Along this line …

Crop biomass is an important attribute to consider in relation to site-specific nitrogen (N)
management as critical N levels in plants vary depending on crop biomass. Whilst LiDAR …

Weather extremes affect crop production. Remote sensing can help to detect crop damage
and estimate lost yield due to weather extremes over large spatial extents. We propose a …

Highlights•We give a spatially-varying local cokriging method for large on-farm
experimentation data.•The new method could recommend high-resolution site-specific …