The Study evaluates the performance of supervised and unsupervised classification techniques for crop identification using Sentinel-2 imagery. Four supervised classifiers—Random Forest (RF), Minimum Distance (MD), Support Vector Machine (SVM), and Smile Cart (sCART)—were assessed...
Open access
Research Article10.9734/ijecc/2025/v15i14668
The purpose of this study was to evaluate the accuracy of the Sentinel-2 chlorophyll content and the Leaf Area Index (LAI) retrieved via SNAP toolbox using in situ observed biophysical parameters. SL2B plugins were tested for accuracy and consistency through validation and compar...
Open access
Research Article10.9734/ijecc/2024/v14i13878
Powdery mildew disease is the most important disease of mustard (Brassica Juncea) which is highly sensitive to weather condition particularly temperature and humidity. To ascertain the relationship between weather variables and powdery mildew disease of mustard crop at Sardarkrus...
Open access
Research Article10.9734/ajaar/2024/v24i3492