VHR imagery to quantify crop response to fertilizer and develop business services for smallholders
Food needs arising from the demographic explosion of sub-Saharan Africa can only be met through agricultural intensification. Smallholder systems feature enormous yield gaps, which may be reduced through ISFM and other sustainable intensification practices. However, today’s huge variability in farming practices and returns on investments is likely to exacerbate in the future. Monitoring changes in productivity across scales is a significant challenge in heterogeneous systems, where overall low SOM and nutrient deficiencies prevail. Fortunately, remote sensing can help monitor crop performance at levels of granularity increasingly compatible with smallholder farming. This opens support applications for precision agriculture, allowing the exploitation – rather than the mitigation – of spatial heterogeneity, and the demonstration that enhanced productivity and livelihoods are possible in complex cropping systems.
Main Authors: | , , , , , , |
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Format: | Poster biblioteca |
Language: | English |
Published: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2016-10-11
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Subjects: | crop, fertilizer application, businesses, smallholders, agriculture, climate change, |
Online Access: | https://hdl.handle.net/10568/77340 |
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Summary: | Food needs arising from the demographic
explosion of sub-Saharan Africa can only be met through agricultural intensification. Smallholder systems feature
enormous yield gaps, which may be reduced through ISFM and other sustainable intensification practices. However, today’s huge variability in farming practices and returns on investments is likely to exacerbate in the future. Monitoring changes in productivity across scales is a significant challenge in heterogeneous systems, where overall low SOM and nutrient deficiencies prevail. Fortunately, remote sensing can help monitor crop performance at levels of granularity increasingly compatible with smallholder farming. This opens support applications for precision agriculture, allowing the exploitation – rather than the mitigation – of spatial heterogeneity, and the demonstration that enhanced productivity and livelihoods are possible in complex cropping systems. |
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