ICRISAT, - (2025) Mid-Season Report on Implementing YESTECH for Kharif rice in Andhra Pradesh. 2025-26. Project Report. ICRISAT, Patancheru. (Submitted)
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Global Research Program - Resilient Farm and Food Systems
Additional Information
UNSPECIFIED
Abstract
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. 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: | Draft Inception Report |
| Uncontrolled Keywords: | YES-Tech, kharif 2025-26, andhra pradesh, crop yield estimation, Crop Cutting Experiments(CCEs) |
| Subjects: | Others > Andhra Pradesh Others > Remote Sensing Others > Crop Yield |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 06 Feb 2026 05:40 |
| Last Modified: | 06 Feb 2026 05:40 |
| URI: | http://oar.icrisat.org/id/eprint/13465 |
| Links: | |
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