5,583 research outputs found

    The nature of small-scale farmer managed irrigation systems in North West Province, Sri Lanka and potential for aquaculture

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    RRAs were carried out in two Small Tank Cascade systems (STCs) of North West Province, Sri Lanka (less than 1000 ha total watershed area). A total of 21 tanks and 7 villages were investigated with primary emphasis on two upper watershed communities. The two systems differ primarily in their resource base; namely rainfall, natural forests and proximity to large scale perennial irrigation resources. [PDF contains 86 pages

    The Digitalisation of African Agriculture Report 2018-2019

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    An inclusive, digitally-enabled agricultural transformation could help achieve meaningful livelihood improvements for Africa’s smallholder farmers and pastoralists. It could drive greater engagement in agriculture from women and youth and create employment opportunities along the value chain. At CTA we staked a claim on this power of digitalisation to more systematically transform agriculture early on. Digitalisation, focusing on not individual ICTs but the application of these technologies to entire value chains, is a theme that cuts across all of our work. In youth entrepreneurship, we are fostering a new breed of young ICT ‘agripreneurs’. In climate-smart agriculture multiple projects provide information that can help towards building resilience for smallholder farmers. And in women empowerment we are supporting digital platforms to drive greater inclusion for women entrepreneurs in agricultural value chains

    Technologies for Climate Change Adaptation - Agriculture Sector

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    Baseline Review of the Upper Tana, Kenya

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    http://greenwatercredits.net/sites/default/files/documents/isric_gwc_report8.pd

    Utilization of Internet of Things and wireless sensor networks for sustainable smallholder agriculture

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    Agriculture is the economy’s backbone for most developing countries. Most of these countries suffer from insufficient agricultural production. The availability of real-time, reliable and farm-specific information may significantly contribute to more sufficient and sustained production. Typically, such information is usually fragmented and often does fit one-on-one with the farm or farm plot. Automated, precise and affordable data collection and dissemination tools are vital to bring such information to these levels. The tools must address details of spatial and temporal variability. The Internet of Things (IoT) and wireless sensor networks (WSNs) are useful technology in this respect. This paper investigates the usability of IoT and WSN for smallholder agriculture applications. An in-depth qualitative and quantitative analysis of relevant work over the past decade was conducted. We explore the type and purpose of agricultural parameters, study and describe available resources, needed skills and technological requirements that allow sustained deployment of IoT and WSN technology. Our findings reveal significant gaps in utilization of the technology in the context of smallholder farm practices caused by social, economic, infrastructural and technological barriers. We also identify a significant future opportunity to design and implement affordable and reliable data acquisition tools and frameworks, with a possible integration of citizen science

    Crop Management with the IoT: an Interdisciplinary Survey

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    In this study we analyze how crop management is going to benefit from the Internet of Things providing an overview of its architecture and components from an agronomic and a technological perspective. The present analysis highlights that IoT is a mature enabling technology, with articulated hardware and software components. Cheap networked devices may sense crop fields at a finer grain, to give timeliness warnings on stress conditions and the presence of disease to a wider range of farmers. Cloud computing allows to reliably store and access heterogeneous data, developing and deploy farm services. From this study emerges that IoT is also going to increase attention to sensor quality and placement protocol, while Machine Learning should be oriented to produce understandable knowledge, which is also useful to enhance Cropping System Simulation systems

    Building Capacities for Scaling-Up Climate Smart Village in Nepal: A training manual

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    Globally there has been enormous effort made by thousands of organizations to promote Climate Smart Agriculture (CSA) technologies for the sake of building resilience in agriculture and farmers’ livelihood. However, the progress so far is not satisfactory. Based on the past learnings CCAFS has conceptualized the idea of Climate Smart Village (CSV) which has CSA as the major component, along with other political and socio-economic dimensions. Looking at the successful piloting of CSV, the Government of Nepal has endorsed this approach in its program. However, a mechanism to share the idea of CSV to the development bodies is lacking. Similarly, the extension workers and other staffs of local governments do not have enough procedural understanding. Therefore, to scale-up CSV approach in Nepal, capacity building of government staffs and local leaders, especially at local and provincial level, is an absolute necessity. A guide book could be the means to facilitate the process of such capacity building. Hence this manual is developed as a guide book for organizing capacity building trainings to the government and non-government development professionals. It will also serve as a resource book to help development workers from local and provincial governments, local leaders, policy makers, researchers, and academicians to understand more about the idea and approach of CSV. Ultimately, this publication is expected to contribute to the mission of scaling-up the CSV approach for the enhanced resilience of farming communities in Nepal and around the world
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