Can AI See What We Can’t? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction

Kashyap, Gautam Siddharth; Joshi, Harsh; Kulahara, Manaswi; Dhakar, Rajkumar; Sajjanhar, Atul; Gao, Jiechao; Jain, Sarthak; Sohail, Shahab Saquib

Can AI See What We Can’t? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction

conference contribution

posted on 2025-05-11, 23:11 authored by Gautam Siddharth Kashyap, Harsh Joshi, Manaswi Kulahara, Rajkumar Dhakar, Atul SajjanharAtul Sajjanhar, Jiechao Gao, Sarthak Jain, Shahab Saquib Sohail

Can AI See What We Can’t? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction

History

Volume

00

Pagination

1-5

Location

Hyderabad, India

Open access

No

Start date

2025-04-06

End date

2025-04-11

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

ICASSP 2025 : Proceedings of the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing

Event

Acoustics, Speech and Signal Processing. Conference (2025 : Hyderabad, India)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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Keywords

Machine Learning and Artificial Intelligence Networking and Information Technology R&D (NITRD)2 Zero Hunger

Can AI See What We Can’t? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction

History

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Location

Open access

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End date

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