A Multiscale Transdisciplinary Framework for Advancing the Sustainability Agenda of Mountain Agricultural Systems

Shakya, Bandana; Schneider, Flurina; Yang, Yongping; Sharma, Eklabya

doi:10.1659/mrd-journal-d-18-00079.1

Cited by 4 publications

(1 citation statement)

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“…Considering the repetitive nature of agricultural activities and the significance of past trends and experiences for future farming decisions [29], CKMF (proposed in this research) is deployed in the agriculture sector of Pakistan as a case study to measure its effectiveness. Another important feature of [30]…”

Section: Related Workmentioning

confidence: 99%

Designing and Evaluating a Collaborative Knowledge Management Framework for Leaf Disease Detection

Bashir¹,

Rehman²,

Bashir³

et al. 2022

Computer Systems Science and Engineering

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Knowledge Management (KM) has become a dynamic concept for inquiry in research. The management of knowledge from multiple sources requires a systematic approach that can facilitate capturing all important aspects related to a particular discipline, several KM frameworks have been designed to serve this purpose. This research aims to propose a Collaborative Knowledge Management (CKM) Framework that bridges gaps and overcomes weaknesses in existing frameworks. The paper also validates the framework by evaluating its effectiveness for the agriculture sector of Pakistan. A software LCWU aKMS was developed which serves as a practical implementation of the concepts behind the proposed CKMF framework. LCWU aKMS served as an effective system for rice leaf disease detection and identification. It aimed to enhance CKM through knowledge sharing, lessons learned, feedback on problem resolutions, help from co-workers, collaboration, and helping communities. Data were collected from 300 rice crop farmers by questionnaires based on hypotheses. Jennex Olfman model was used to estimate the effectiveness of CKMF. Various tests were performed including frequency measures of variables, Cronbach's alpha reliability, and Pearson's correlation. The research provided a KMS depicting KM and collaborative features. The disease detection module was evaluated using the precision and recall method and found to be 94.16% accurate. The system could replace the work of extension agents, making it a cost and time-effective initiative for farmer betterment.

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Section: Related Workmentioning

confidence: 99%

Designing and Evaluating a Collaborative Knowledge Management Framework for Leaf Disease Detection

Bashir¹,

Rehman²,

Bashir³

et al. 2022

Computer Systems Science and Engineering

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Design of TETHYS: a greenhouse plant-smart water harvesting and air-cleaning system

Nikolaou,

Kitta

2024

Euro-Mediterr J Environ Integr

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A Common Trade Framework – Support for Agricultural and Food Products. Models of New Zealand, South Korea, and Romania Mountains

Covaci

2023

Preprint

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The paper proposes an econometric model for agricultural and food exports, focusing on models regarding New Zealand, South Korea, and Romanian mountain areas. The models for 2002–2040 reveal that these countries are integrated into the agricultural global value chain. The economic model supposes a common export framework for three world economies different in structure, but similar in exports and mountain areas. The paper confirms that tariff barriers and agricultural mountain areas affect positively exports. The paper demonstrates that the export policies of agricultural and food sectors, especially mountains, of a country or a region are influenced, on a macroeconomic level, by most-favor-national clause, the multitude and the clauses of agreements, tariff and non-tariff barriers of the country, promotion of domestic exports, applying mountain development goals, promoting mountain products. At the microeconomic level, exports are determined by farm management, farmers' support, agricultural and food education with a focus on mountain product consumption, benefits awarded for the mountain activities through compensations, and more integrative issues for farmers. The paper's final purpose and solutions consider the mountain area's sustainability, offering the most healthier solutions for future foods.

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A Multiscale Transdisciplinary Framework for Advancing the Sustainability Agenda of Mountain Agricultural Systems

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 4 publications

References 59 publications

Designing and Evaluating a Collaborative Knowledge Management Framework for Leaf Disease Detection

Designing and Evaluating a Collaborative Knowledge Management Framework for Leaf Disease Detection

Design of TETHYS: a greenhouse plant-smart water harvesting and air-cleaning system

A Common Trade Framework – Support for Agricultural and Food Products. Models of New Zealand, South Korea, and Romania Mountains

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