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 precious fodder for livestock. Therefore, harvesting trail conducted on these standing stems to cut it and used as fodder. Experimental design The developed prototype tested on finger millet crop. The performance parameters like Electric Energy requirement, Watthour, Electric Power Requirement, Watt, field capacity, cutting efficiency, battery run time, height of cut during the operation were measured. Detail specifications of DC powered brush cutter SI. No. Particulars Specification 1. Weight 11.5 kg 2. Battery capacity 18 Ah 3. Motor Type and Power DC motor 120/150/250 watt 4. Motor speed 4000 rpm 5. Motor speed controller Available Field crop parameter The performance evaluation of machine conducted on Finger millet stem. Sr. No. Crop Parameters Finger millet stem 1 Height of crop, cm 80 2 Crop density, hill/m 2 22 3 No. of hills per m 2 22 4 Plant per hill 7-8 5 Row to row spacing, cm 45 6 Hill to hill spacing, cm 10-18 7 Stem diameter, cm 0.8-1.2 8 Hill diameter, cm 10 9 Biomass per m 2 , kg 2.5 Results The developed brush cutter cuts the crop from bottom and windrow it in left side of operator. The operator can operate it by fixing machine on one shoulder with shoulder strap and swinging it from right to left. The performance evaluation of developed prototype conducted on finger millet crop stem. The field capacity was observed 250m 2 per hour with 15 min rest time. Further, it was found that the developed brush cutter could work effectively for 1.5-2 h continuously in one charging. The cutting efficiency of 95% was found with developed brush cutter. The cutting width of brush cutter for finger millet was 80-100 cm was found suitable to avoid clogging. It was also observed that developed prototype produces lesser noise and minimum vibration as compared to engine operated brush cutter. The maximum power Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment 714 | Page

International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad requirement by brush cutter at the time of cutting stroke was found to be 110 watt and it may vary according to crop type and plant density. References Anonymous (2018) National Energy Policy (NEP) Draft, NITI Aayog, GOI, 2017: http://niti.gov.in/write readd ata/files /new_initi ative s/ NEP-ID_27.06.2017.pdf. Chieh-Tsung Chi (2012) A new electric brush cutter. WSEAS Trans Syst Control 3(7):2224– 2856. Sahoo A U and Raheman Hifjur (2020) Development of an electric reaper: a clean harvesting machine for cereal crops. Clean Technol. Environ. Policy, 22: 955–964. T5-07R-1486 Modified Vegetative Drought Response Index (VegDRI) for Drought Risk Assessment of Andhra Pradesh G. S. Pratyusha Kranthi 1 , K. V. Rao 1 and K. Padmakumari 2 1 ICAR-Central Research Institute for Dryland Agriculture, Hyderabad 2 Jawaharlal Nehru Technological University, Kakinada Drought risk is a product of a region’s exposure to the climate hazard and its vulnerability to extended periods of water shortage (Wilhite, 1985). Since there is a strong relationship between poverty and drought proneness of a region, there is a need to understand and address the risk associated with drought. Risk assessment reduces the impacts of drought through mitigation and preparedness and help in decision-making process for policy makers. Drought hazard and risk assessments are often established for the current climate situation; these assessments make use of historical datasets of drought hazards, drought impacts, and information about exposure and vulnerability to drought. Agricultural drought risk assessment is done by analysing rainfall and evapotranspiration data. However, this approach lacks spatial and temporal variability. Spatial and temporal analysis through remote sensing (RS) and geographic information system (GIS) has greatly felicitated drought risk assessment by identifying drought risk zones and prioritizing based on risk level. Detection, monitoring of drought requires accurate and continuous information, which may not be effectively collected through conventional methods. RS and GIS make it possible to obtain continuous information over larger areas. A study on drought risk assessment in rainfed areas of Andhra Pradesh using spatial and temporal analysis was framed using modified Vegetative Drought Response Index (VegDRI) for crops of different crop durations and for different soil types at varying depths. 715 | 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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