Validation and Feedback Analysis of Agromet Advisory Services in Khammam District of Telangana under KVK, Wyra

Autor: J. V. Prasad, R. Uma Reddy, P. S. M. Phanisri, V. Chaitanya, K. Ravi Kumar, W. Jessie Suneetha, J. Hemantha Kumar, Nagaraju Dharavath
Rok vydání: 2022
Předmět:
Zdroj: International Journal of Environment and Climate Change. :742-752
ISSN: 2581-8627
DOI: 10.9734/ijecc/2022/v12i1030860
Popis: The success or failure of a crop is heavily depends on accumulation of received amount and intensity of rainfall mostly from southwest and northeast monsoon. Crop loss can be minimized by making adjustment through timely and accurate weather forecasting. Hence, there is necessity to validate the coming five days rainfall forecast analysis to determine the accuracy skill for managing strategic decisions by farmers. For validation of rainfall forecast qualitative and quantitative verification methods were adopted by India Meteorological Department, New Delhi. In these results, validation of qualitative and quantitative verification methods for southwest and northeast monsoon, 2021 indicated that high skill score for all ASD (agro sub divisional) level and moderate skill score for Khammam district level. A survey was conducted randomly for 230 farmers during year 2021-22 for reviewing effectiveness of agromet advisory services (AAS). The results indicated that most of farmers have been following AAS and checking weather forecast for post harvest operations like sowing / transplanting, harvesting / threshing, pesticide application, irrigation application, fertilizer application and other farm operations. It was observed from survey that 60.4 % of respondents rated AAS as highly satisfactory service.
Databáze: OpenAIRE