Book of Extended summaries ISDA

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges &
Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad
Methodology
This study is a kind of test control study which is a combination of both quantitative and
qualitative research techniques to compare the (test groups) NICRA farmers against (the
control groups) non-NICRA farmers from villages Bhelwa, Dropad, Gadhi and Gunghasa of
Godda district were selected based on the agro-ecological variation. Random sampling method
has been followed for the selection of respondent farmers. The period of study and assessment
were from 2020-21 to 2021-22 through the feedbacks and suggestions collected from the
farmers in the NICRA and non-NICRA villages. Four villages of one block Poraiyahat were
selected under the NICRA project and one non-NICRA village was selected randomly. 30
farmers were selected in the selected each NICRA village by following random process. Total
of 120 farmers from NICRA villages and 50 non-NICRA farmers were selected in the sample.
The three-point rating scale was conducted for obtaining the score. Farmers were interviewed
by researchers in the selected villages for the primary data collection. Focus Group Discussion
was conducted among farmers to obtain the information. Collected data were then scrutinized
for the analysis.
Results
Weather Advisory service plays a very crucial role in deciding farming activities during the
different cropping season. The advisory is the real time need of farmers to decide agricultural
and livestock management and practices. Table 1 shows that 30.83% farmers considered
weather advisory very useful and 27.49% farmers useful. Whereas about 23.32% farmers are
satisfied with the advisory but 18.33% found it irrelevant. In non-NICRA villages more than
50% farmers expressed that the weather advisory service is either satisfactory or irrelevant for
them. The weather forecasting need to be more accurate and on time specially during the
monsoon. Hence, the weather advisory needs to be explored in much better way to reach the
farmers on time so as to tackle and mitigate the climatic hazards. In the selected NICRA village,
the scenario of weather advisory was not significantly different (p=0.678). The details are
mentioned below.
NICRA
Village
Feedback on Weather Advisory
Very Useful Useful Satisfactory Irrelevant
Number % Number % Number % Number %
Dropad 10 33.33 7 23.33 5 16.66 8 26.66
Gadhi 9 30 7 23.33 8 26.66 6 20
Gunghasa 10 33.33 10 33.33 7 23.33 3 10
Bhelwa 8 26.66 9 30 8 26.66 5 16.66
The chi-square statistic is 6.5983. The p-value is .678863. The result is not significant at p < .05.
Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment
750 | Page