Precision agricultural technologies (PATs) have revolutionized the way farmers grow crops,
including potatoes. This review paper presented an overview of the best management …

As the global population continues to increase, projected to reach an estimated 9.7 billion
people by 2050, there will be a growing demand for food production and agricultural …

Images of key phenological periods play a vital role in agricultural applications as they
capture the unique spectral characteristics of crops. Unfortunately, acquiring high-spatial …

Over the past few years, there has been extensive exploration of machine learning (ML),
especially deep learning (DL), for crop yield prediction, resulting in impressive levels of …

Crop seedling detection is an important task in the seedling stage of crops in fine agriculture.
In this paper, we propose a high-precision lightweight object detection network model based …

Recent technological advances have allowed the production of many studies on
evapotranspiration, resulting in improvements in reference evapotranspiration estimates and …

Rice yield depends on factors including variety, weather, field management, nutrient and
water availability. We analyzed important drivers of yield variability at the field scale, and …

Intensifying agricultural landscapes by removing non-crop vegetation threatens ecosystem
services like pest regulation. Non-crop areas may serve as overwintering habitat for natural …

Field boundaries can provide ecosystem services to crops by creating better abiotic
conditions for crop growth, and can also act as habitat for beneficial arthropods. This …

Ecosystem services can maintain or increase crop yield in agricultural systems, but data to
support management decisions are expensive and time‐consuming to collect. Furthermore …