Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and
time and increases efficiency in agricultural management activities, which improves the food …

Rice is a staple food that feeds nearly half of the world's population. With the population of
our planet expected to keep growing, it is crucial to carry out accurate mapping, monitoring …

Agricultural monitoring systems require spatio-temporal information on widely cultivated
staple crops like rice. More emphasis has been made on area estimation and crop detection …

Accurate and timely rice mapping is important for food security and environmental
sustainability. We developed a novel approach for rice mapping through Combined …

Estimating of rice areas using images obtained from satellite remote sensing is important for
guiding operators. The object of this study was the Sentinel-2A/B image data of the rice …

The presence and distribution of green vegetation cover in the biosphere are of paramount
importance in investigating cause-effect phenomena at the land/atmosphere interface …

In this study we used the PhenoRice algorithm to track recent variations of rice cultivation
practices along the Senegal River Valley. Time series of MODIS imagery with 250 m spatial …

The assessment of rice yield at territory level is important for strategic economic decisions.
Assessing spatial and temporal yield variability at regional scale is difficult because of the …

Researchers, policy makers, and farmers currently rely on remote sensing technology to
monitor crops. Although data processing methods can be different among different remote …

Crop simulation models are commonly used to forecast the performance of cropping
systems under different hypotheses of change. Their use on a regional scale is generally …