Book of Extended summaries ISDA

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad
NICRA
Total
Non
NICRA
Village
37 30.83 33 27.49 28 23.32 22 18.33
8 16 13 26 10 20 19 38
The chi-square statistic is 4.3363. The p-value is .887921. The result is not significant at p < .05.
In the non-NICRA village 38% stated that weather advisory service was irrelevant, 20%
considered it satisfactory while 42% farmers accepted it as very useful or useful to them. This
scenario was much better in NICRA villages in comparison to non-NICRA village (p=0.887).
The management of weather and climate risks in agriculture has become an important issue
due to climate change. Wise use of weather and climate information can help to make better
policy, institutional and community decisions that reduce related risks and enhance
opportunities, improve the efficient use of limited resources and increase crop, livestock and
fisheries production (Chattopadhyay et al., 2021).
Advisories related to agricultural knowledge, information and management practices from crop
selection, field preparation to harvesting were under the agricultural advisory service which
was found that 38.33% farmers considered it very useful while about 30% farmers found it
useful. But 19.16% farmers stated it as satisfactory and 12.49% farmers found it irrelevant that
needs to be addressed as a grey area and has to be worked on in a better way to outreach the
maximum number of farmers on time. In the selected village the scenario was not significantly
different (p=0.716). The details are as follows:
NICRA
Village
Feedback on Agricultural Advisory service
Very Useful Useful Satisfactory Irrelevant
Number % Number % Number % Number %
Dropad 11 36.66 7 23.33 7 23.33 5 16.66
Gadhi 10 33.33 8 26.66 9 30 3 10
Gunghasa 13 43.33 10 33.33 4 13.33 3 10
Bhelwa 12 40 11 36.66 3 10 4 13.33
The chi-square statistic is 6.2357. The p-value is .716111. The result is not significant at p < .05.
NICRATotal 46 38.33 36 29.99 23 19.16 15 12.49
Non NICRA
Village
9 18 14 28 6 12 21 42
The chi-square statistic is 20.1251. The p-value is .00016. The result is significant at p < .05.
Conclusion
Since, climate change has now become the reality, severely affecting the agricultural
production and productivities directly or indirectly, Agro-meteorological Advisory Service
(AAS) played a vital role to aware the farmer and improving their knowledge in adopting
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