Site selection to test an integrated approach to agricultural research for development: combining expert knowledge and participatory Geographic Information System methods

Thornton, Philip K.; Stroud, Ann; Hatibu, N.; Legg, Chris; Ly, Samie Li Shang; Twomlow, Stephen; Molapong, K.; Notenbaert, An Maria Omer; Kruska, R.L.; Kaufmann, R.

doi:10.1080/14735903.2006.9686008

Cited by 16 publications

(3 citation statements)

References 6 publications

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“…To face these challenges the linkages between agriculture and Information and Communication Technologies ICTs are increasing in both quantity and granularity, until the recent birth of an autonomous sector, called E-Agriculture (Electronic Agriculture), characterized by the application of ICTs to strengthen agricultural and rural development through better management of data, information and communication processes throughout the production, distribution and consumption of the agri-food system products. Among environmental information systems and technologies, GIS and remote sensing techniques are particularly relevant thanks to their features enabling the development of studies at different temporal and spatial levels by integrating data and information (Thornton et al,. 2007;Bocchi et al, 2006): through GIS it is possible to manage large amounts of data, including databases, models and traditional digital maps; their application allow a fast cross-sectorial interaction as well as the production of synthetic information for decision-makers (Maracchi et al, 2000).…”

Section: N O N -C O M M E R C I a L U S E O N L Ymentioning

confidence: 99%

Research for the innovation of the agri-food system in international cooperation

Bocchi¹,

Christiansen²,

Oweis³

et al. 2012

Ital J Agronomy

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In the last few decades, characterized by intense environmental, landscape and socio-economic-financial changes, unexpected issues concerning the primary sector are arising and require researchers an urgent and deep reformulation of both the conceptual and technological tools used in the applied research. The concept of innovation is now radically changed, starting from a prevailing formula of linear top-down technology transfer, which has characterized the green revolution of the 1960s, to the nowadays approach that is characterized by the innovation of a complex system, and it is aimed at creating sustainable and shared opportunities through economic and institutional development. Those who now work in public or private bodies oriented to research for innovation are struggling to maintain their specific study area, but within integrated schemes where technical and scientific aspects are in interaction with organizational, institutional and political issues. Innovation can tackle several issues: new products, new technologies, new markets, new procedures (institutions) and new policies. The series of scientific and conceptual tools framed into the Agro-ecology domain seems appropriate to plan development initiatives of which the primary objective is ensuring a sustainable management of all the resources involved in agricultural production processes, while promoting food security and sovereignty, as well as protecting the rural landscape. By studying a target agroecosystem it is possible to identify and characterize the relationships between both the internal components and the system structures and functions at different levels of complexity of plot, farm and country, without neglecting the interactions among scientific, technological and socio-economic factors, and ultimately tending towards a science aimed at conflict resolution. Given the challenges that agricultural development is going to face in the next decades, it is indeed essential to support the planning and implementation of sound agro-ecological policies through an appropriate set of advanced tools. Particularly, a key aspect to empower all the stakeholders involved in the research, development, dissemination and application of new methods and technologies is the identification of information and communication systems that farmers and policy makers need in order to cope with fast-changing conditions in a complex system. University and research centers can act as institutional facilitators of dialogue and development policies among different stakeholders, catalyzing participation and promoting participatory problem-solving strategies for agricultural development and cooperation.

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Section: N O N -C O M M E R C I a L U S E O N L Ymentioning

confidence: 99%

Research for the innovation of the agri-food system in international cooperation

Bocchi¹,

Christiansen²,

Oweis³

et al. 2012

Ital J Agronomy

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“…The associate editor coordinating the review of this manuscript and approving it for publication was Feng Xia. crop pests and diseases has been widely applied for crop variety selection [3], greenhouse environment control, pest control [4], fertilization and irrigation [5], economic benefit analysis [6], and other aspects of agricultural production and application. Developing pest and disease expert systems based on knowledge graphs have promoted the conversion of achievements of agricultural technology, contributing to the development of high-yield, high-efficiency and high-quality agriculture [7].…”

Section: Introductionmentioning

confidence: 99%

“…3 , and M 4 are projection matrices, represents multiplying by bits, b 1 and b 2 re bias vectors. The third-order tensor was also used to replace bilinear form.…”

mentioning

confidence: 99%

Review and Trend Analysis of Knowledge Graphs for Crop Pest and Diseases

et al. 2019

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Current techniques of knowledge management have some common defects in efficiency, scalability, and applicability. Knowledge graph provides a new way for knowledge management and is a more flexible knowledge management method. Considering the specific features of crop diseases and pest data, this paper analyzed and classified the key techniques and methods of knowledge graph technology in the field of crop diseases and pest in recent years. We introduced the definition and connotation of the crop diseases and pest knowledge, and the current construction method of it was analyzed in detail from four aspects: knowledge representation, extraction, fusion, and reasoning. Furthermore, the application of crop diseases and pest knowledge graph was introduced in detail in the expert system, search engine, and knowledge question-answering system. At last, this paper summarized the challenges and important problems of diseases and pest knowledge graph and forecasted the prospect of knowledge graph according to the key points and difficulties of current knowledge graph research.INDEX TERMS Knowledge graph, crop disease and pest, knowledge extraction, knowledge fusion, knowledge reasoning.

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Agromet Services for Sustainable Cropping Systems

Walker

2024

Agrometeorological Applications for Climate Resilient Agriculture

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Site selection to test an integrated approach to agricultural research for development: combining expert knowledge and participatory Geographic Information System methods

Cited by 16 publications

References 6 publications

Research for the innovation of the agri-food system in international cooperation

Research for the innovation of the agri-food system in international cooperation

Review and Trend Analysis of Knowledge Graphs for Crop Pest and Diseases

Agromet Services for Sustainable Cropping Systems

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