K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras
We did field evaluations to determine the sensitivity of the cameras to phenological changes. However, the camera has not yet been calibrated with commercial sensors. There is also an app that is programing to automate the capture of images, processing them and transforming them to Kc and visualize the data.
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| Format: | Report biblioteca |
| Language: | English |
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2021-12-31
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| Subjects: | development, rural development, data, processing, vegetation, systems, data processing, agrifood systems, vegetation index, software, normalized difference vegetation index, sensors, ndvi, cameras, hardware, |
| Online Access: | https://hdl.handle.net/10568/123135 |
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dig-cgspace-10568-1231352023-03-14T12:24:43Z K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras CGIAR Research Program on Climate Change, Agriculture and Food Security development rural development data processing vegetation systems data processing agrifood systems vegetation index software normalized difference vegetation index sensors ndvi cameras hardware We did field evaluations to determine the sensitivity of the cameras to phenological changes. However, the camera has not yet been calibrated with commercial sensors. There is also an app that is programing to automate the capture of images, processing them and transforming them to Kc and visualize the data. 2021-12-31 2022-10-06T14:22:50Z 2022-10-06T14:22:50Z Report CGIAR Research Program on Climate Change, Agriculture and Food Security. 2021. K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras. Reported in Climate Change, Agriculture and Food Security Annual Report 2021. Innovations. https://hdl.handle.net/10568/123135 en CRP Innovation Other Open Access application/pdf |
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| topic |
development rural development data processing vegetation systems data processing agrifood systems vegetation index software normalized difference vegetation index sensors ndvi cameras hardware development rural development data processing vegetation systems data processing agrifood systems vegetation index software normalized difference vegetation index sensors ndvi cameras hardware |
| spellingShingle |
development rural development data processing vegetation systems data processing agrifood systems vegetation index software normalized difference vegetation index sensors ndvi cameras hardware development rural development data processing vegetation systems data processing agrifood systems vegetation index software normalized difference vegetation index sensors ndvi cameras hardware CGIAR Research Program on Climate Change, Agriculture and Food Security K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras |
| description |
We did field evaluations to determine the sensitivity of the cameras to phenological changes. However, the camera has not yet been calibrated with commercial sensors. There is also an app that is programing to automate the capture of images, processing them and transforming them to Kc and visualize the data. |
| format |
Report |
| topic_facet |
development rural development data processing vegetation systems data processing agrifood systems vegetation index software normalized difference vegetation index sensors ndvi cameras hardware |
| author |
CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_facet |
CGIAR Research Program on Climate Change, Agriculture and Food Security |
| author_sort |
CGIAR Research Program on Climate Change, Agriculture and Food Security |
| title |
K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras |
| title_short |
K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras |
| title_full |
K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras |
| title_fullStr |
K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras |
| title_full_unstemmed |
K_cam: Hardware/software app to estimate crop coefficients (Kc) through Normalized Difference Vegetation Index (NDVI) using low-cost infra red filter cameras |
| title_sort |
k_cam: hardware/software app to estimate crop coefficients (kc) through normalized difference vegetation index (ndvi) using low-cost infra red filter cameras |
| publishDate |
2021-12-31 |
| url |
https://hdl.handle.net/10568/123135 |
| work_keys_str_mv |
AT cgiarresearchprogramonclimatechangeagricultureandfoodsecurity kcamhardwaresoftwareapptoestimatecropcoefficientskcthroughnormalizeddifferencevegetationindexndviusinglowcostinfraredfiltercameras |
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