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Harvard Dataverse
Dataset . 2017
License: CC 0
Data sources: Datacite
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Profiling Farmer Innovations Around Legume Technologies

Research datakeyboard_double_arrow_right Dataset 01 Jan 2017Embargo end date: 13 Oct 2017Publisher:Harvard Dataverse
Authors: Lilongwe University Of Agriculture And Natural Resources (LUANAR); Agriculture Extension Services; Michigan State University (MSU);

doi: 10.7910/dvn/mxmi8v

Profiling Farmer Innovations Around Legume Technologies

Abstract

This study contains data based on investigations on technologies being used by farmers in Malawi as part of sustainable intensification. <p><h4>About the project </h4></p> <p><b>Project title: Africa Rising Malawi-Nutrition</b></p> <p><b> Project abstract </b></p> <p>The project focuses on profiling farmer innovations around legume technologies</p> <p> <b>Project start date</b>: 01/03/2014</p> <p> <b>Project end date</b>:12/30/2016</p>

Household- and Community-level Surveys

EXCEL, null

Keywords

AFRICA, Agricultural Sciences, grain legumes, SOUTHERN AFRICA, technology, MALAWI, AFRICA SOUTH OF SAHARA, maize, sustainability, intensification, Agricultural research

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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