In recent decades, research on precision irrigation driven by climate change has developed
a multitude of strategies, methods and technologies to reduce water consumption in …

This article gives a brief overview of various aspects of data mining of multispectral image
data. We focus on specifically the remote sensing satellite images acquired using …

Abstract Machine learning (ML) along with high volume of satellite images offers an
alternative to agronomists in crop yield predictions for decision support systems. This …

Vegetation is an essential component of our global ecosystem and an important indicator of
the dynamics and productivity of land cover. Vegetation forecasting research has been …

Climate change is perhaps the biggest single threat to humankind and the environment, as it
severely impacts our terrestrial surface, home to most of the living species. Inspired by video …

Projected increases in food demand driven by population growth coupled with heightened
agricultural vulnerability to climate change jointly pose severe threats to global food security …

From land degradation and desertification to cyclones and tropical storms, and so on, the
repercussions of global change have become increasingly severe in recent years. Such …

Estimating the optimum harvest time and yield embodies an essential food security factor.
Vegetation indices have proven to be an effective tool for widescale in-field plant health …

Crop yield prediction is every nation's most important and difficult task. Due to the frequent
climate changes, farmers struggle to achieve a high yield. This work presents an effective …

Time series forecasting, particularly when applied to geospatial data, serves as an essential
tool for accurate observation and prediction of environmental and spatial occurrences …