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International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad Title Title First Author ID 32 Photo-Voltaic Solar Power: Alternative Energy for Farm Mechanization 33 Design and Development of Planter for Intercropping Castor with Green Gram 34 Leaf Propagation of Guava for Prevention of Root Knot Nematode 35 Soil Moisture Indices Using Copernicus Soil Water Index for Drought Studies 36 Soil Conservation Practices for Climate Change Adaptation in Bihar State 37 Correlation of Weather Variables on the Development of Makhana Leaf Spot Disease in the Koshi Region of Bihar 38 Study the Effect of Different Chemical on Biochemical and Functional Properties of Custard Apple (Annona squamosa L.) During Storage 39 Cloud Computing, Data science for Big Data Management in Agriculture 40 Feasibility of Appropriate Mechanization in Cultivation of Millets in Rainfed Eco System 41 Small Scale Farm Mechanization: An Archangle to Climate Resilient Agriculture 42 Predicting the generation index of groundnut bruchid, Caryedon serratus Olivier in India during future climate change scenario 43 Indian Water Policy: Perspective of Rainwater Harvesting for Sustainability in Semi-Arid Regions Ravikant V Adake HS Chaudhary R Neelavathi KV Rao Pooja Jena Md Nadeem Akhtar Indraraj Ghasil R Lakshmi Sreya I Srinivas MV Tiwari TV Prasad K Sreenivas Reddy T5-31P-1373 T5-32P-1379 T5-33P-1417 T5-34P-1491 T5-35P-1528 T5-36P-1535 T5-37P-1538 T5-38P-1589 T5-39P-1598 T5-40P-1711 T5-41P-1616 T5-42P-1621 Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment 696 | Page
International Conference on Reimagining Rainfed Agro-ecosystems: Challenges & Opportunities during 22-24, December 2022 at ICAR-CRIDA, Hyderabad T5-01O-1063 Intercropping as ‘Ecological Precision Agriculture’ to Address Field Heterogeneity Iman Raj Chongtham* Department of Biosystems and Technology, Swedish University of Agricultural Sciences, Lomma 234 22, Sweden. *raj.chongtham@slu.se During the last century, agricultural intensification with high use of external inputs such as pesticides, mineral fertilizers and crops grown as mono/sole crops has increased food production. However, such simplified and resource intensive agricultural practices are associated with causing environmental problems, notably biodiversity loss, development of resistance to pesticides, climate change, and eutrophication (Gliessman, 2014). Dependence on one crop and external inputs can increase vulnerability of cropping system to natural disasters such as drought, the current COVID-19 pandemic (e.g. disruptions in supply chains) and high input prices due to conflicts (e.g. in Ukraine). Furthermore, crop production in organic systems is quite challenging as they have high spatial and temporal yield variability. Organic farmers have limited ‘quick and easy’ solutions such as chemical pesticides and fertilizers to deal with problems compared to conventional farmers (Chongtham et al., 2016). Intercropping (IC) can potentially address several of these challenges. Jensen et al. (2015) considered intercropping of non-legume crops (such as cereals) with grain legumes as an ‘ecological precision agriculture’ concept since the intercrop in a specific site will adjust its botanical composition, performances and acquisition of N from soil and fixation from atmosphere according to available soil mineral N by competitive interactions. This concept can be related to ‘stress gradient hypothesis’ in Ecology (Bertness and Callaway, 1994), which assumes that the outcome of plant-plant interactions is dictated by environmental conditions, i.e. in harsh environment (e.g., from temperature or grazing) there will be more positive plant-plant interactions. However, there is lack of knowledge on the degree to which field-scale soil variability affects the competitive interactions between the IC components and use of available resources. This study aims to understand if intercropping can adapt to field heterogeneity more efficiently than their respective sole crops (SC) by suppressing weeds and producing higher and more stable yields. Methodology On alarge field with heterogeneous soil conditions, we measured soil ECa using EM-38 device. Based on this data, strips of crops: SC oat, SC pea and IC oat-pea (50%:50% seeding 697 | Page Emerging approaches (RS, AI, ML, Drones etc) for crop management &assessment
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Extended Summaries 22-24 December,
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Citation Rama Rao, C.A., Srinivasa
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Resilience through land and water m
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International Conference on Reimagi
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Theme- 2 Ecosystem based approaches
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Resource conservation and rainfed a
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Theme- 6 Institutional and policy i
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