Restructuring farmer–researcher relationships and addressing complexity and uncertainty
through joint exploration are at the heart of On-Farm Experimentation (OFE). OFE describes …

Soil assessments are crucial for data-driven soil management and precision agriculture to
promote smart soil management practices and address related environmental pollution …

Predicting crop yield response to management and environmental variables is a crucial step
towards nutrient management optimization. With the increase in the amount of data …

Within-field variability of crop yield levels has been extensively investigated, but the spatial
variability of crop yield responses to agronomic treatments is less understood. On-farm …

The geospatial analysis provides high potential for modeling, understanding, and visualizing
artificial and natural ecosystems, utilizing big data analytics and the Internet of things as a …

Yield gap assessments at the field-level are key for develo** management practices to
increase crop production in a sustainable manner. Although rice is an important food crop …

Organic agriculture is often regarded as less damaging to the environment than
conventional agriculture, though at the expense of lower yields. Field-specific precision …

The convergence among the rise of digital technologies, the attention paid to the localized
issues of transitions in practices toward agroecology, and the emergence of new open …

High-resolution yield maps are an essential tool in modern agriculture. Using spatial
interpolation, spatially discrete sampled yield data from yield monitors can be transformed …

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 …