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UNDERSTANDING SPATIAL VARIABILITY OF CROPPING SYSTEM RESPONSE TO CLIMATE CHANGE IN PUNJAB STATE OF INDIA USING REMOTE SENSING DATA AND SIMULATION MODEL
CropSyst Spatial impact HadCM3 A2 B2 Agricultural system yield
2014/5/6
The present study investigated the impact of climate change, as projected by the Global Climate Model, HadCM3 for two different storyline (A2, B2), on the total crop production of Punjab state of Indi...
Mapping Broadacre Cropping Practices Using Modis Time Series: Harnessing the Data Explosion
Mapping Broadacre Cropping Practices Modis Time Series Harnessing Data Explosion
2016/4/11
The MODIS (or Moderate Resolution Imaging Spectroradiometer) 250 m EVI dataset provides a valuable ongoing means of characterising and monitoring changes in land use and resource condition. However th...
Field capacity determination from GPS spatial data
machinery management coefficient of field time utilization spatial data GPS
2014/2/28
For agricultural machinery management the actually reached machines capacity has a considerable importance. The data recorded by GPS monitoring enable to correct machines work productivity under concr...