Sneha Kumari
@sse.ac.in
Scopus Publications
Scopus Publications
K. K. Tripathy, Sneha Kumari, V. G. Venkatesh, M. P. Sukumaran Nair, and R. Jayalakshmi
Emerald Publishing Limited
Sneha Kumari, V. G. Venkatesh, Priyanka Sunil Kothmire, M. P. Sukumaran Nair, and K. K. Tripathy
Emerald Publishing Limited
Sneha Kumari, Manoj Kumar Singh, and Udaya Lakshmi Dendukuri
Wiley
AbstractWeeds are a major threat in unpuddled transplanted rice during rainy seasons. To manage weeds by using Sesbania residue green mulch, rice straw mulch and post emergence herbicides in an integrated way, an experiment was conducted in a split plot at Varanasi during the rainy season of 2017 and 2018. The experiment was taken with three mulching treatments in main plots, namely, no mulching (NM), cover crop of Sesbania aculeatea followed by its green residue mulch (SRGM) and rice straw mulch (RRM) in inter rows and five weed management treatments, namely, weedy, hand weeding twice (HWT), post emergence application of bispyribac 25 g a.i ha−1 (BP), penoxsulam 30 g a.i ha−1 (PX), bispyribac 25 g a.i ha−1 + pyrazosulfuron 20 g a.i ha−1 (BP + PS) in subplots replicated thrice. SRGM and RRM were noted to be successful in reducing density and biomass of grasses including Echinochloa colona and sedges and total weed (59% and 49%) biomass compared to NM under weedy conditions. Mulching, integrated with post emergence herbicides proved its potency in not only weed reduction but is also in yield enhancement.
Sneha Kumari, V.G. Venkatesh, Eric Deakins, Venkatesh Mani, and Sachin Kamble
Emerald
Purpose Agriculture value chains (AVCs) have experienced unprecedented disruption during the COVID-19 pandemic, with lockdowns and stringent social distancing restrictions making buying and selling behaviours complex and uncertain. This study aims provide a theoretical framework describing the stakeholder behaviours that arise in severely disrupted value chains, which give rise to inter-organisational initiatives that impact industry sustainability. Design/methodology/approach A mixed-methods approach is adopted, in which uncertainty theory and relational governance theory and structured interviews with 15 AVC stakeholders underpin the initial conceptual model. The framework is empirically validated via partial least squares structural equation modelling using data from an online survey of 185 AVC stakeholders based in India. Findings The findings reveal that buyer and supplier uncertainty created by the COVID-19 lockdowns gives rise to behaviours that encourage stakeholders to engage in relational governance initiatives. Progressive farmers and other AVC stakeholders welcome this improved information sharing, which encourages self-reliance that positively impacts agricultural productivity and sustainability. Practical implications The new framework offers farmers and other stakeholders in developing nations possibilities to sustain their AVCs even in dire circumstances. In India, this also requires an enabling ecosystem to enhance smallholders' marketing power and help them take advantage of recent agricultural reforms. Originality/value Research is scarce into the impact of buyer and seller behaviour during extreme supply chain disruptions. This study applies relational governance and uncertainty theories, leading to a proposed risk aversion theory.
Sneha Kumari, Shirish Jeble, V. G. Venkatesh, Chandrasekaran Nagarajan, and Yangyan Shi
Springer Science and Business Media LLC
Sneha Kumari, V.G. Venkatesh, and Yangyan Shi
Elsevier BV
Vidya Kumbhar, Ashwini Patil, Sneha Kumari, and Nisha Bharti
Springer Nature Singapore
Bhupesh Gopal Chintamani, Hema Yadav, and Sneha Kumari
Wiley
AbstractFarmer producer companies (FPCs) have widely transformed the livelihoods of the people and mainly squeezed the income and living standard conditions in the rural sectors, specifically a primary sector engaged majorly with village economies. This article diagnoses the collective cooperative concept and formation of FPCs in the country since their establishment in the year 2008–2021. We utilized secondary data from the Ministry of Corporate Affairs (MCA) and the outcome of the study discusses the state and zone‐wise performance of FPCs in the country. The result found that only a few zones are performing in the FPCs businesses which makes it sustainable. The study further adds the sustainable measures for performance of the FPCs.
Sneha Kumari, V.G. Venkatesh, and Yangyan Shi
Inderscience Publishers
Sneha Kumari, V. G. Venkatesh, Felix Ter Chian Tan, S. Vijayakumar Bharathi, M. Ramasubramanian, and Yangyan Shi
Springer Science and Business Media LLC
Sneha Kumari, Nisha Bharti, and Saidur Rahaman
Wiley
Sneha Kumari, P. Raghuram, V.G. Venkatesh, and Yangyan Shi
Emerald
PurposeThe paper aims to evaluate how progressive stakeholders view the adoption of contemporary techniques such as virtual technology in driving sustainable quality in an emerging economy context.Design/methodology/approachThe authors adopted a systematic literature review to develop the theoretical framework for virtual reality (VR) technology adoption in sustaining quality in agriculture production. The framework was refined after discussion with a panel of academic experts. The refined theoretical framework was further empirically validated using Partial Least Square Structure Equation Modelling.FindingsThe study focuses on the future perspective of the perception for progressive farming with the adoption of VR technology in an emerging economy. The data were collected from the stakeholders (farmers, collectives, cooperative, etc.), for their future perspectives for the adoption of VR technology and sustainable quality agriculture production. The study may help build up VR technology in emerging economies which may take years to be established.Research limitations/implicationsThe perception of the future perspective of VR technology study conducted has limitations. The findings are well established on technology adoption; however, the technology used will take many extra years to find its application in the agriculture sector. The study offers insightful theoretical, managerial and policy implications for sustainable quality in agriculture production through the adoption of virtual reality (VR) technology. The authors found very few works that focused on VR technology adoption.Originality/valueThe study discusses VR, which has an impact on sustaining the quality of agriculture production. The study has notable managerial and policy implications that suggest the future perspective for VR technology in agriculture production. The study is an unexplored area that needs research to capture future perspectives.
Nisha Bharti and Sneha Kumari
University of Wollongong Library
Vidya Kumbhar, Akhil Maru, and Sneha Kumari
International Hellenic University
Agriculture and its allied sectors have been generating a huge amount of big data. This data includes the different forms such as structured, semi-structured and unstructured real time data. This has led to impose challenges to mine knowledge. Data Mining has left a vast scope for decision making in government and enterprises. The gap has been bridged by several techniques. Data mining is one of the such technique. The recent advanced information technology techniques such as spatial information technology has the capability of analyzing the wider range of agriculture related resources. The different agriculture related parameters include soil, climatic conditions, irrigation and water availability pattern and various socio-economic variables. The paper aims to systematically review the current researches on geospatial information for making better decisions in agriculture. The study also summarizes the application of geospatial data mining techniques and algorithms in agriculture. The study is an initiative in the current era for building a decision support system in agriculture sector.
Sneha Kumari, Nisha Bharti, and K. K. Tripathy
SAGE Publications
Indian agriculture has always been less profitable. Several factors contribute to the low profitability in agriculture, but less value addition, weak value chain system and weak market linkage are some of the most important factors. Producer companies are helping small farmers to emerge in the market. The farmer producer organisations (FPOs) linked with the producer companies are the best example of collective actions. The collective actions for the agriculture value chain (AVC) have resulted in a decrease in the cost and an increase in revenue. FPO and producer company find a good place in the underpinning theory of collective action theory. This study examines various successful examples of strengthening AVC through cooperatives and tried to identify various factors responsible for the success of these collectives. This study has adopted a case study approach. Three successful cases, that is, Vasundhara Agriculture Horticulture Producer Company Ltd: a multi-state FPO, Abhinav Farms Club and Sahyadri Farmer Producer Company have been selected for the case study based on their successful interventions for strengthening the agriculture value chain. Primary and secondary data has been collected through telephonic interviews from the board of directors, chairman and the members of the FPO. Both primary and secondary data have been collected to compare the three cases for AVC models. The data has been analysed using a comparative case study approach. The parameters of AVC have been identified using the Delphi technique. The study has found that collective actions have helped the farmers to strengthen the agriculture value chain. The study also concluded that leadership played an important role in defining the success of the FPOs. The study brings out future directions to excel in AVC through collectives.
Shirish Jeble, Sneha Kumari, V.G. Venkatesh, and Manju Singh
Emerald
Purpose The purpose of this paper is threefold: first, to investigate the role of big data and predictive analytics (BDPA) and social capital on the performance of humanitarian supply chains (HSCs); second, to explore the different performance measurement frameworks and develop a conceptual model for an HSC context that can be used by humanitarian organizations; and third, to provide insights for future research direction. Design/methodology/approach After a detailed review of relevant literature, grounded in resource-based view and social capital theory, the paper proposes a conceptual model that depicts the influence of BDPA and social capital on the performance of an HSC. Findings The study deliberates that BDPA as a capability improves the effectiveness of humanitarian missions to achieve its goals. It uncovers the fact that social capital binds people, organization or a country to form a network and has a critical role in the form of monetary or non-monetary support in disaster management. Further, it argues that social capital combined with BDPA capability can result in a better HSC performance. Research limitations/implications The proposed model integrating BDPA and social capital for HSC performance is conceptual and it needs to be empirically validated. Practical implications Organizations and practitioners may use this framework by mobilizing social capital, BDPA to enhance their abilities to help victims of calamities. Social implications Findings from study can help improve coordination among different stakeholders in HSC, effectiveness of humanitarian operations, which means lives saved and faster reconstruction process after disaster. Second, by implementing performance measurements framework recommended by study, donors and other stakeholders will get much desired transparency at each stage of HSCs. Originality/value The findings contribute to the missing link of social capital and BDPA to the existing performance of HSC literature, finally leading to a better HSC performance.
J. Moore, E. Perry, C. Shyu, T. Matisziw, B. Reeder, J. Uhlmann, G. Scott, J. Stemmle and W. Spollen
Emerald Publishing Limited
Data Science is an emerging discipline that, by its nature, integrates traditional disciplines. The degree program leverages prior investments in the computing disciplines across campuses and colleges within each campus. The MU Institute for Data Science & Informatics coordinates this collaborative degree program with other MU departments to deliver hands-on, problem-based learning, core, and emphasis area courses. The learning objectives for these novel courses were informed by our industry review board and are taught by dedicated faculty that support a high-touch, interactive learning environment.
S. Kumari, DR K. K. Tripathy and V. Kumbhar
Emerald Publishing Limited
Sneha Kumari, Vidya Kumbhar, and K. K. Tripathy
Emerald Publishing Limited
K. K. Tripathy and Sneha Kumari
Emerald Publishing Limited