Plant and fungal specimens in herbaria are becoming primary resources for investigating
how plant phenology and geographic distributions shift with climate change, greatly …

Several misconceptions about the design‐based approach for sampling and statistical
inference, based on classical sampling theory, seem to be quite persistent. These …

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 …

The application and interpretation of statistics are central to ecological study and practice.
Ecologists are now asking more sophisticated questions than in the past. These new …

The Data‐Intensive Farm Management (DIFM) project works with participating farmers,
using precision technology to inexpensively design and run randomized agronomic field …

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 …

A major threat to mammalian carnivores is death due to human conflict, including carnivore
use of anthropogenic food sources, predation of livestock, or car accidents. To reduce …

The objective of this research work is to study the artificial intelligence (AI)-based product
benefits and problems of the agritech industry. The research variables were developed from …

Montado decline has been reported since the end of the nineteenth century in southern
Portugal and increased markedly during the 1980s. Consensual reports in the literature …

Monitoring of destructive invasive weeds such as those from the genus Striga requires
accurate, near real-time predictions and integrated assessment techniques to enable better …