The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

Crop yield prediction is one of the crucial components of agriculture that plays an important
role in the decision-making process for sustainable agriculture. Remote sensing provides …

This study presents the first high-resolution Land Use/Land Cover dataset for Iran in 2022
(ILULC-2022), with a particular emphasis on the agricultural areas. This research employed …

The interplay of machine learning (ML) and deep learning (DL) within the agroclimatic
domain is pivotal for addressing the multifaceted challenges posed by climate change on …

Many applications use computer vision to detect and count objects in massive image
collections. However, automated methods may fail to deliver accurate counts, especially …

Assessment and prediction analyses of the ecological environmental quality of river basins
are pivotal to realize ecological protection and high-quality coordinated development …

Remote sensing is one of the most important methods for analysing the multitemporal
changes over a certain period. As a cost-effective way, remote sensing allows the long-term …

In order to meet the needs of geologists for the analysis of data characterizing field outcrops
(rock sections or formations exposed on the ground surface), this study developed a field …

The analysis of crop variation and the ability to quantify it is a critical and challenging task.
Remote sensing (RS) has proven to be an effective tool for monitoring crops and detecting …

To plan production, the sowing, and harvesting of a particular crop, and the performance of
marketing activities information about yields is important for both the traders and producers …