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Mulakaledu et al., 2024 - Google Patents

Satellite Image–Based Ecosystem Monitoring with Sustainable Agriculture Analysis Using Machine Learning Model

Mulakaledu et al., 2024

Document ID
6103566241707433161
Author
Mulakaledu A
Swathi B
Jadhav M
Shukri S
Bakka V
Jangir P
Publication year
Publication venue
Remote Sensing in Earth Systems Sciences

External Links

Snippet

Understanding the variations in soil fertility and crop growth across time and geography is crucial for understanding the agricultural environment. Satellite and unmanned aerial remote sensing are the two main types of remote sensing methods used in agroecosystem …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
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