Mid-Season Report on Implementing YESTECH for Kharif rice in Andhra Pradesh. 2025-26

Gumma, M K and Panjala, P and Bellam, P K and Snigdha, G and Mohammed, I (2026) Mid-Season Report on Implementing YESTECH for Kharif rice in Andhra Pradesh. 2025-26. Project Report. ICRISAT, Patancheru.

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Global Research Program - Resilient Farm and Food Systems

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Abstract

1.1 Crop yield estimates of the Insurance Units (IUs) for the current and past years form the basis for crop loss assessment and indemnity payout. Crop yield estimation is done by carrying out Crop Cutting Experiments (CCEs), the traditional system of manual yield measurements in randomly selected field plots for each crop in each IU. Major limitations of CCE-based crop yield estimation include the following gaps: (a) a limited number of measurements, (b) a time-consuming process, and (c) vulnerable to human errors. 1.2 The Department of Agriculture & Farmer Welfare (DA&FW), Government of India (GOI) has taken up many initiatives to improve crop yield estimation procedures ever since the launch of Pradhan Mantri Fasal Bheema Yojna (PMFBY). Technology development agencies of both the Government and Private sectors have been engaged in developing new yield estimation methods using various datasets and models such as 1. Semi-physical model, 2. Machine learning approach, 3. Crop simulation model, 4. Ensemble model, and 5. Parametric index of crop performance (CHF model) through pilot studies.

Item Type:	Monograph (Project Report)
Divisions:	Global Research Program - Resilient Farm and Food Systems
CRP:	UNSPECIFIED
Series Name:	Mid-Season Report
Uncontrolled Keywords:	YESTECH, Kharif, rice, Andhra Pradesh, Remote Sensing
Subjects:	Others > Andhra Pradesh Others > GIS Techniques/Remote Sensing Others > Rice
Depositing User:	Mr Nagaraju T
Date Deposited:	08 Apr 2026 09:50
Last Modified:	08 Apr 2026 09:50
URI:	http://oar.icrisat.org/id/eprint/13585
Links:	Google Scholar

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