Developments in space-based hyperspectral sensors, advanced remote sensing, and
machine learning can help crop yield measurement, modelling, prediction, and crop …

Hyperspectral images (HSIs) are a powerful source of reliable data in various remote
sensing applications. But due to the large number of bands, HSI has information …

Agriculture can be regarded as the backbone of human civilization. As technology evolved,
the synergy between agriculture and remote sensing has brought about a paradigm shift …

Crop improvement and production domains encounter large amounts of expanding data
with multi-layer complexity that forces researchers to use machine-learning approaches to …

Wetlands are important in many ways, including hydrological cycles, ecosystem diversity,
climate change, and economic activity. Despite the Ramsar Convention's awareness …

Elevation gradients significantly influence net primary productivity (NPP), but the relationship
between elevation, climate variables, and vegetation productivity remains underexplored …

Agricultural crop map** has advanced over the last decades due to improved approaches
and the increased availability of image datasets at various spatial and temporal resolutions …

These days, extracting information from remote sensing data has a great impact on various
aspects of our lives, such as infrastructure and urban planning, transportation and traffic …

Precise prediction of agricultural production output is crucial for farmers, policymakers, and
the Farming-related industry. This article introduces a novel methodology to crop yield …

The urgency to protect natural water resources in a sustainable manner has risen as water
scarcity and global climate change continue to worsen. Among various methods of collecting …