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Demonstrating the use of remote sensing and machine-learning for agriculture 

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Resource Details

Resource ID

18578

Access

Open

Contributed by

B.Muralidhar

Topics

ICT / Knowledge management

Systems

Farming Systems, Livelihood Systems

Locations

Asia, India, Odisha

CSR Activity

No

Global Date

25 Sep 20

Title

Demonstrating the use of remote sensing and machine-learning for agriculture

Keywords

Remote Sensing, Machine-Learning, Crop Type Mapping, Odisha, Webinar, Asian Development Bank, Satellite Images

Language

English

New ICRISAT Research Programs

Innovation systems for the Drylands, Digital Agriculture & Youth

Story Partners

Asian Development Bank

Author/Key contact

Dr Murali Krishna Gumma

Story Source

ICRISAT Happenings 1873-4, 25 September 2020

Type

Science

URL/Link

https://www.icrisat.org/demonstrating-the-use-of-remote-sensing-and-machine-learning-for-agriculture/

Description

Real time information from a remote sensing satellite miles above earth helped identify crop stress due to rains in Bhadrak, Jajapur, Kendraparha and Puri along the eastern coast of India in Odisha state on 28 August. Remote sensing capabilities for such agricultural applications have increased manifold over the years and publicly available resources can be used for efficient farming and land management. This was demonstrated through ICRISAT’s work in combining remote sensing and machine learning for agriculture related applications during a recently held webinar for senior executives of the Asian Development Bank.

Date (Date published/released/created if known)

25 Sep 20

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