Sugarcane is an important crop for the production of sugar and ethanol, and its area has
increased significantly in recent decades in tropical and subtropical regions. Pakistan is …

The ubiquitous deep learning (DL) in remote sensing (RS) motivates the most challenging
problem of crop classification. To perpetrate such an exigent task, an attempt is made to …

Remote Sensing-based multi-time point imagery helps incorporate the potentiality of time
series analysis in crop classification studies. Single timepoint imagery has limitations in this …

Crop identification and mapping provide valuable information about crop acreage and aid in
monitoring and decision-making for government and agro-industrial businesses. Multi …

Today, with dynamically changing climatic conditions, it becomes very important to monitor
and estimate the acreage and production of crops to meet the requirements of the bulging …

Crop mapping and acreage estimation are the simplest yet the most critical issues in
agriculture. Remote sensing technology has been extensively used in the past few decades …

To match the ever increasing nutrition needs of growing population and dwindling
agricultural labour force, agriculture sector has been progressively adapting farming …

Accurate and timely monitoring of crops can help in better agriculture management. Remote
sensing-based crop monitoring helps to track the real-time crop condition. Small farm …

Reliable and accurate crop maps are required for food security from regional to global scale.
The increased availability of satellite imagery leads to a “Big Data” problem while producing …

Satellite imagery data collected from various modern and older versions of satellites
discover its applications in a variety of domains. One of the domains with great importance is …