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Remote sensing-based framework to predict and assess the interannual variability of maize yields in Pakistan using Landsat imagery

Ishfaq Ahmad, Aditya Singh, Muhammad Fahad, Muhammad Mohsin Waqas

2020Computers and Electronics in Agriculture28 citationsDOI

Topics & Concepts

Normalized Difference Vegetation IndexVegetation (pathology)Environmental scienceLasso (programming language)AgricultureCrop yieldPredictive modellingSatellite imageryPrincipal component analysisYield (engineering)Climate changeRemote sensingStatisticsGeographyMathematicsComputer scienceAgronomyBiologyArchaeologyMetallurgyWorld Wide WebEcologyMedicinePathologyMaterials scienceRemote Sensing in AgricultureLand Use and Ecosystem ServicesLeaf Properties and Growth Measurement
Remote sensing-based framework to predict and assess the interannual variability of maize yields in Pakistan using Landsat imagery | Litcius