Book of Extended summaries ISDA

20.12.2022 Views
International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad 250 y = 0.33x - 474.9 182 185 188 192 R² = 0.9945 200 150 100 y = 0.143x - 258.64 26.5 27 27.8 R² = 0.8335 31 50 0 1990 2000 2010 2020 Year Land Surface Temperature (0C) Linear (Land Surface Temperature (0C)) Urban Settlements (Sq.km) Linear (Urban Settlements (Sq.km)) Comparison between LST and Urban Settlements over 1990-2020 Conclusion To develop successful strategies to reduce the amplitude of the Urban Heat Island effect, it is critical to comprehend the relationship between LST and urban surface features. It is also possible to immediately determine the crop water status or the rate of transpiration using the surface temperature of the vegetation as measured by remote sensing. However, trees are crucial in densely populated metropolitan areas because they provide a cooling effect during hot weather that has a direct impact on the microclimate. References Guo, G, Wu Z, Xiao R, Chen Y, Liu X. and Zhang X, 2015. Impacts of urban biophysical composition on land surface temperature in urban heat island clusters. Landsc Urban Plan. 135: 1-10. Roy, B., Bari, E., Nipa, N. J. and Ani, S. A. 2021. Comparison of temporal changes in urban settlements and land surface temperature in Rangpur and Gazipur Sadar, Bangladesh after the establishment of City Corporation. Remote Sens. Appl.: Soc. Environ. 23:100587. Rozenstein, O., Qin Z, Derimian Y. and Karnieli A. 2014. Derivation of land surface temperature for Landsat-8 TIRS using a split window algorithm. Sensors. 14(4): 5768- 5780. Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment 748 | Page

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad T5-22P-1178 Usefulness of Agro-Meteorological Advisory Service from Farmers Prospective in the NICRA Operated Villages of Godda District Jharkhand Rajnish Prasad Rajesh, Ravi Shanker, Surya Bhushan, Anjani Kumar, Amarendra Kumar and Mukesh Kumar GVT-KVK, Godda, Jharkhand Director - ATARI-IV, Patna, Godda is one of the most backward districts of India situated in Santhal Pargana of Jharkhand state. Farmers of this district are largely dependent on agriculture-based economy. Majority of the farmers largely comes under the category of small and marginal. The only source of income is the small piece of land for earning means of livelihood. Agriculture over the years has now become more diversified in the district and has shifted to the higher value crops. The trend of climate change is causing deviation in rainfall patterns. Scanty, spatial rainfall and intermittent dry spells are also affecting the climate change prone area frequently. In this direction, National Innovation on Climate Resilient Agriculture (NICRA) is working in four climate vulnerable villages viz. Bhelwa, Dropad, Gadhi and Gunghasa of Poraiyahat block of the district Godda. The district requires an integrated approach for the proper management practices of crops, livestock and soil along with the new improved technologies. In the present scenario The study assessed the service through the farmer’s feedback in the NICRA and non-NICRA villages. Baethgen et al., 2003 stated that the AAS is essential for the development of farmers and the formal and informal knowledge play a key role in the decision-making process in the agricultural practices. Agro-meteorological advisory service was found a vital element for farmer’s knowledge as well as their mindset so a proper coordination among various development actors like GO, NGO, private agencies and policy makers need to be strengthened to reduce climate change (Lenka et al., 2022). Agro-met Advisory Service can contribute to the crop and livestock management practices as per the weather conditions and need of the hour for enhancing the agricultural production and productivity. AAS is the real time need of the farmers (Gandhi et al; 2018). AAS were helpful to the farmers for profitable and sustainable agricultural production by managing the climate risk effectively (Ramachandrappa et al., 2018). Micro level weather advisories with ground realities and information can readily be used in making crucial decision and strategies in farming are much more realistic to the farmers as compared to the meteorological information of macro level. This information will enable the policymakers to understand at micro level implications of agriculture contingent measures against climate change. 749 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment

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