Abstract The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which
may be used for acquiring solutions towards better crop management. The applications of …

Essential climate variables (ECVs) have been recognized as crucial information for
achieving Sustainable Development Goals (SDGs). There is an agreement on 54 ECVs to …

Many approaches for crop yield prediction were analyzed by countries using remote sensing
data, but the information obtained was less successful due to insufficient data gathered due …

Mapping smallholder fruit plantations using optical data is challenging due to morphological
landscape heterogeneity and crop types having overlapping spectral signatures …

Fruit-tree crops generate food and income for local households and contribute to South
Africa's gross domestic product. Timely and accurate phenotyping of fruit-tree crops is …

The mitigation strategy study of urban heat island (UHI) provides a key indicator for
achieving sustainable development, particularly for cities enduring rapid urbanization. The …

China, as the world's biggest soybean importer and fourth-largest producer, needs accurate
mapping of its planting areas for global food supply stability. The challenge lies in gathering …

With the impacts of climate change and human activities, agricultural drought disaster losses
have increased remarkably. Drought disaster risk assessment is a prerequisite for …

Abstract The United Nations' 17 Sustainable Development Goals stress the importance of
global and local efforts to address inequalities and implement sustainability. Addressing …

Monitoring crop height during different growth stages provides farmers with valuable
information important for managing and improving expected yields. The use of synthetic …