Satellite remote sensing technologies have a high potential in applications for evaluating land conditions and can facilitate optimized planning agricultural sectors. However, misinformed selection decisions limit crop yields increase production-related costs to farmers. Therefore, the purpose of this research was develop suitability assessment system using satellite sensing-derived soil-vegeta...

The determination of cropland suitability is a major step for adapting to the increased food demands caused by population growth, climate change and environmental contamination. This study presents novel assessment approach based on machine learning, which overcomes limitations conventional GIS-based multicriteria analysis increasing computational efficiency, accuracy objectivity prediction. me...

Extensive livestock grazing even in unsuitable land has increasingly grown in most parts of semi-arid rangeland. Therefore, it is of paramount importance to identify suitable land for livestock grazing for optimum utilization while causing minimum impact to the environment. This paper adapted the schematic model based on the concepts presented by the Food and Agriculture Organization of suitabi...