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 different management practices as per the weather conditions Agro-met Advisory Service was significantly higher in NICRA villages than non-NICRA village. The coordination among various sectors like District Agriculture Office, ATMA, Agriculture Extension Functionaries, District Administration, NGOs, FPOs, GVT-Krishi Vigyan Kendra, Godda etc. needed to be more strengthened to mitigate the impact of climate change on agriculture and allied activities by popularizing the AAS among farmers for adopting and timely following Agro-met Advisory Service (AAS). References Baethgen, Walter E.; Holger, Meinke and Agustin Gimenez (2003). Adaptation of agricultural production systems to climate variability and climate change: lessons learned and proposed research approach. In Climate Adaptation. net conference Insights and Tools for Adaptation: Learning from Climate Variability, pp. 18-20. Chattopadhyay N. (2021). Weather and climate-based farm advisory services. J. Agrometeorology, 23 (1) : 1-2. Gandhi, Gurupreet, Singh J, Chaudhary L and Kamlesh Kumar Sahu (2018). Farmers feedback about the agromet advisory services (AAS) at Mahasamund district of Chattisgarh. J. Pharma. and Phyto., 5 : 2522-2524. Lenka Sasank, Panigrahi, R. S., Satpathy, Abhijeet (2022). Farmers opinion on the usefulness of agro advisory services in the NICRA operated districts of Odisha. Indian Res. J. Ext. Edu., pp. 64-67. T5-23P-1194 Use of UNEP Aridity Index for Drought Assessment in Bundelkhand Sunil Kumar Bihar Agricultural University, Sabour, Bhagalpur-813210, Bihar, India Drought is a natural phenomenon that results from a deficiency of rainfall from expected rainfall or normal rainfall and which may exist over a season or for longer period and is insufficient to satisfy the need for water for human activities and the environment. Bundelkhand region has faced a no. of times drought which has made the life of the people worst. A number of the widely used drought indices include Palmer Drought Severity Index (PDSI), Standardized Precipitation Index (SPI), Crop Moisture Index (CMI), UNEP Aridity Index and Surface water system Index (SWSI). In this study, UNEP Aridity index was used to monitor drought in Bundelkhand region. Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment 752 | Page

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad Methodology The Bundelkhand region consists of thirteen districts: seven in Uttar Pradesh- Jhansi, Jalaun, Lalitpur, Hamirpur, Mahoba, Banda and Chitrakoot, and six in Madhya Pradesh - Datia, Tikamgarh, Chattarpur, Damoh, Sagar and Panna. This is situated just below the Indo-Gangetic plain and is extending to the north with the undulating Vindhyan range spread across the northwest to the south. It is situated between 23°20’ and 26°20’ N latitude and 78°20’ and 81°40’ E longitude. The daily gridded data (maximum temperature, minimum temperature, mean temperature and rainfall) for the duration of 1990 to 2019 were obtained from India Meteorological Department, Pune, India. Aridity index (AI) based on UNEP (1992) to quantify the drought occurrence at each study location was used. This index was derived from two important climatic elements for agriculture and reflects both the atmospheric supply (rainfall) and atmospheric demand (evapotranspiration), i.e. two important factors affecting the water budget of the land surface. The reference evapotranspiration (ETo) was calculated by using temperature method given by Hargreaves and Samani (1985) and modified by Hargreaves et al., (1985). As per the UNCCD definition, area which are sensitive to drought are often divided into three categories, namely arid, semi-arid, dry sub-humid. If this index is less than 0.5 then dry condition occurs in the area. Drought occurrences were examined based on the frequencies of events for every drought category for all 13 districts coming under this region. The percentage of drought occurrence was obtained by taking the ratio of drought occurrences to the total drought occurrences for a particular time and particular drought category as given by Sonmez et al., 2005. The drought occurrence probabilities were calculated by using each drought event for all stations in each district in Bundelkhand region. Results In Banda district Chhatarpur and Chitrakoot districts, in most of the years in June, October and in whole season, there was dry condition. In Chitrakoot district, there was more severe condition and cases of hyper arid and arid condition were also more in comparison to these other two districts. In the districts, Damoh, Datia and Hamirpur, Hamirpur was more affected by dry conditions and there were more cases of hyper arid condition. In Datia also there were more cases of dry condition but arid condition was more prevailing than hyper arid and no. of cases were lesser than Datia. In Jalaun, Jhansi and Lalitpur, all the districts were affected by dry condition mostly in June and October months. But in the whole season, the condition was little bit better than individual months. In Jhansi district, dry condition was in more no. of years in comparison to other two districts. In Mahoba, Panna and Sagar, Mahoba was more affected than other two districts. Hyper arid to arid condition was more in June and October months in comparison to other three months. In season, there was some dry condition but the condition was better. 753 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment

Page 1 and 2: Extended Summaries 22-24 December,

Page 3 and 4: Citation Rama Rao, C.A., Srinivasa

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