Hello,
I am not very familiar with hyperspectral imaging and agriculture, but I am very interested in machine learning models used from data generated by hyperspectral cameras flying over farming fields in order to do agriculture analysis , for instance to support crop dusting or analyze the quality of the harvest. So far I understand that for the most detailed research it is necessary to place the camera on a drone in order to reach a sufficient resolution. However for certain techniques, satellite data from such cameras seem to be sufficient.
Do you know any literature which discusses whether drone data is really necessary for a certain agricultural analysis?
Do you know whether there is any publicly or commercially available database with such satellite data, from which such models can be produced in order to help farmes who might not can afford to hire a start-up or other company which flies with a drone over their field?
Hello sir,
kindly check on this paper.
https://www.usgs.gov/centers/wgsc/science/global-hyperspectral-imaging-spectroscopy-agricultural-crops-vegetation-ghisa
Dear Dennis Lorch
These papers might be helpful, have a look:
1. https://www.mdpi.com/2072-4292/12/16/2659/htm
2. https://medium.com/remote-sensing-in-agriculture/hyperspectral-imaging-in-agriculture-opportunities-benefits-and-future-perspectives-ba112d2b741a
3. https://link.springer.com/article/10.1007/s10712-018-9492-0
4. https://www.researchgate.net/publication/261242345_A_short_survey_of_hyperspectral_remote_sensing_applications_in_agriculture
Kind Regards
Qamar Ul Islam
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