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Framework for agricultural performance assessment based on MODIS multitemporal data
We present a hierarchical classification framework for automated detection and
mapping of spatial patterns of agricultural performance using satellite-based Earth observation
data exemplified for the Aral Sea Basin (ASB) ...
GIS-Based multi-criteria land suitability mapping for scaling faba bean varieties in Ethiopia
Successful scaling of agricultural technology requires a spatial explicit framework for targeting the right variety at the right place. This entails a multi-criteria evaluation (MCE) approach, using a set of determining ...
Phenology-based discrimination of maize (Zea mays L.) varieties using multitemporal hyperspectral data
Discriminating maize varieties is crucial for crop monitoring, high-throughput phenotyping, and yield forecasting. Crop experts discriminate maize varieties using morphological
and biophysical characteristics. However, ...
Finding a Suitable Niche for Cultivating Cactus Pear (Opuntia ficus-indica) as an Integrated Crop in Resilient Dryland Agroecosystems of India
Climate change poses a significant threat to agroecosystems, especially in the dry areas, characterized by abrupt precipitation pattern and frequent drought events. Ideal crops, tolerant to these events, such as cactus, ...
Mapping land suitability for maize (Zea mays L.) production using GIS and AHP technique in Zimbabwe
The study integrates geographic information system (GIS) and analytic hierarchy process (AHP) to evaluate land suitability for maize production in Zimbabwe using multi-criteria evaluation (MCE) process. Four thematic maps ...
Finding a Suitable Niche for Cultivating Cactus Pear (Opuntia ficus‐indica) as an Integrated Crop in Resilient Dryland Agroecosystems of India
Climate change poses a significant threat to agroecosystems, especially in the dry areas,
characterized by abrupt precipitation pattern and frequent drought events. Ideal crops, tolerant to
these events, such as cactus, ...