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Titlebook: Revitalizing Indian Agriculture and Boosting Farmer Incomes; Ashok Gulati,Ranjana Roy,Shweta Saini Book‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if app

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发表于 2025-3-21 17:08:20 | 显示全部楼层 |阅读模式
书目名称Revitalizing Indian Agriculture and Boosting Farmer Incomes
编辑Ashok Gulati,Ranjana Roy,Shweta Saini
视频video
概述This book is open access, which means that you have free and unlimited access.Presents detailed state level analysis of agricultural performance, farmers’ income and policy recommendations to strength
丛书名称India Studies in Business and Economics
图书封面Titlebook: Revitalizing Indian Agriculture and Boosting Farmer Incomes;  Ashok Gulati,Ranjana Roy,Shweta Saini Book‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if app
描述This open access book provides an evidence-based roadmap for revitalising Indian agriculture while ensuring that the growth process is efficient, inclusive, and sustainable, and results in sustained growth of farmers’ incomes. The book, instead of looking for global best practices and evaluating them to assess the possibility of replicating these domestically, looks inward at the best practices and experiences within Indian states, to answer questions such as -- how the agricultural growth process can be speeded up and made more inclusive, and financially viable; are there any best practices that can be studied and replicated to bring about faster growth in agriculture; does the prior hypothesis that rapid agricultural growth can alleviate poverty faster, reduce malnutrition, and augment farmers’ incomes stand? .To answer these questions, the book follows four broad threads -- i) Linkage between agricultural performance, poverty and malnutrition; ii) Analysingthe historical growth performance of agricultural sector in selected Indian states; iii) Will higher agricultural GDP necessarily result in higher incomes for farmers; iv) Analysing the current agricultural policy environment
出版日期Book‘‘‘‘‘‘‘‘ 2021
关键词Open Access; Doubling Farmer Income; Reform Agenda; Rural Livelihood; Agricultural Products; Sustainable
版次1
doihttps://doi.org/10.1007/978-981-15-9335-2
isbn_softcover978-981-15-9337-6
isbn_ebook978-981-15-9335-2Series ISSN 2198-0012 Series E-ISSN 2198-0020
issn_series 2198-0012
copyrightThe Editor(s) (if applicable) and The Author(s) 2021
The information of publication is updating

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发表于 2025-3-21 20:15:01 | 显示全部楼层
Ashok Gulati,Ranjana Royway to obtain high performance. Replication, however, introduce consistency problem for many collaborative applications, and sometimes requires the usage of lots of resources. To obtain high performance, we apply the parallel I/O techniques used in parallel file systems.
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Ashok Gulati,Ranjana Roy,Siraj Hussainis very high. Fortunately, they all rely on two elementary operations - simulation and sensitivity analysis - and thus are well suited for parallelization. Consequently, Grid computing methods are ideally suited for computational Systems Biology environments. This contribution summarizes some recent
发表于 2025-3-22 11:05:20 | 显示全部楼层
Ashok Gulati,Ranjana Roy,Siraj Hussainted several times and the use of grid infrastructures makes feasible to approach this problem in an acceptable time frame. Here we describe the set up of a simulation environment within the EUChinaGRID[1] infrastructure that allows non expert users to exploit grid resources for large-scale proteins
发表于 2025-3-22 15:23:55 | 显示全部楼层
Ashok Gulati,Pallavi Rajkhowa,Ranjana Roy,Pravesh Sharmated several times and the use of grid infrastructures makes feasible to approach this problem in an acceptable time frame. Here we describe the set up of a simulation environment within the EUChinaGRID[1] infrastructure that allows non expert users to exploit grid resources for large-scale proteins
发表于 2025-3-22 18:47:41 | 显示全部楼层
Ashok Gulati,Prerna Terway,Siraj Hussainnterfaces. The system is currently used in production on OSG by the DZero Experiment, the Engagement Virtual Organization, and the Dark Energy. It is also the resource selection service for the Fermilab Campus Grid, FermiGrid. ReSS is considered a lightweight solution to push-based workload manageme
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