Yield maps provide a detailed account of crop production and potential revenue of a farm.
This level of details enables a range of possibilities from improving input management …

Participatory modes of agricultural research have gained significant attention over the last
40 years. While many scholars and practitioners agree that engaging farmers and other …

Satellite images are widely used for crop yield estimation, but their coarse spatial resolution
means that they often fail to provide detailed information at the field scale. Recently, a new …

Food demand is expected to rise significantly by 2050 due to the increase in population;
additionally, receding water levels, climate change, and a decrease in the amount of …

Timely crop yield information is needed for agricultural land management and food security.
We investigated using remote sensing data from the Earth observation mission Sentinel-2 to …

Accurate estimates and predictions of sunflower crop yields at the pixel and field level are
critically important for farmers, service dealers, and policymakers. Several models based on …

On‐farm research is becoming widespread due to a growing interest among farmers,
agronomists and the research community. While the concept of on‐farm research is not new …

Soil spatial variability is a primary contributor to within-field yield variation across farms.
Spatio-temporal yield stability and variability can be assessed through multi-year yield …

Accurate yield estimation and optimized agricultural management is a key goal in precision
agriculture, while depending on many different production attributes, such as soil properties …

Big Data in agriculture is growing rapidly through advancements in metagenomics, precision
agriculture, and on‐farm sensor technologies, as well as through increased capacity to …