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    <name>Article</name>
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          <name>Title</name>
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              <text>Agriculture 4.0 and smart farming: Imperatives of scaling up innovation and farmer capabilities for sustainable business</text>
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              <text>Agriculture performance; Agriculture sector; Business performance; Farmer's capability; Innovation capability; Production</text>
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              <text>Smart agriculture adoption during industry 4.0 is creating new scenarios to farmers across the world. Smart farming promotes not only an increase in the agricultural productivity and incomes, but also building resilience to climate change. Small business farmers had to look at all possible means to cope with the technology applications for implementation of agro-transformation agendas for improved production and business performance. Smart farmers have to make use of several technology applications like drones and satellites, IoT (Internet of Things) based sensors, block chain and big data, biotech, farm maintenance technology (optimising water usage, production, and innovation technology) for better agricultural practices. Though such aggrotech opportunities have demonstrated business improvements, how far such smart farming revolution is well received by the agribusiness owners are less researched into. Henceforth, the purpose of this research is to establish the relationship between aggrotech innovation capabilities and farmer's capabilities associated with agriculture firms and its contributions to business performance. Following cross-sectional descriptive study design, and purposive sampling, the study addressed 3 direct and 2 indirect relationships in the model, on 212 farmers. The data was collected from Selangor state of Malaysia. The study applied Smart PLS SEM to analyse the data. The results show that the innovation (technology) capability and farmer's (people) capability have a positive relationship on business performance. The study also shows the partial mediation effect of technology change on innovation capability and business performance as well as employee capability and business performance. The study is novel in its form by applying Resource Based View theory on Smart agriculture, extending possibilities of generalization agriculture sector.  2021 Ecological Society of India. All rights reserved.</text>
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              <text>Kumar D.M.; Sharma V.; Govindarajo N.S.; Rahmawati</text>
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              <text>Indian Journal of Ecology, Vol-48, pp. 1-8.</text>
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              <text>Ecological Society of India</text>
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              <text>2021-01-01</text>
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              <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113769183&amp;amp;partnerID=40&amp;amp;md5=eeebf2960867400b0c9b6151c1de8554" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113769183&amp;amp;partnerID=40&amp;amp;md5=eeebf2960867400b0c9b6151c1de8554&lt;/a&gt;</text>
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              <text>ISSN: 3045250</text>
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              <text>Kumar D.M., GNS University, 821305, India; Sharma V., CHRIST (Deemed to be University), Delhi NCR, 201 003, India; Govindarajo N.S., Xiamen University, 43900, Malaysia; Rahmawati, Muhammadiyah University, Palapo, 91922, Indonesia</text>
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