A multi-agent knowledge-enhanced model for decision-supporting agroforestry systems-Reference-Cited by-同舟云学术

A multi-agent knowledge-enhanced model for decision-supporting agroforestry systems

Published:2021-12-05 Issue: Volume: Page:
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Container-title:2021 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Cavaliere Danilo,Senatore Sabrina

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9659537/9659538/09660056.pdf?arnumber=9660056

Reference13 articles.

1. An ontology-based monitoring system for multisource environmental observations;masmoudi;knowledge-Based and Intelligent Information & Engineering Systems Proceedings of the 22nd International Conference KES-2018,2018

2. Towards a Collaborative Approach to Decision Making Based on Ontology and Multi-Agent System Application to crisis management

3. Forest owner behavioral models, policy changes, and forest management. An agent-based framework for studying the provision of forest ecosystem goods and services at the landscape level

4. Fuzzy control system for variable rate irrigation using remote sensing

5. Ontology models of the impacts of agriculture and climate changes on water resources: Scenarios on interoperability and information recovery

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1. Perception Mapping of Internet of Things in Augmenting Agroforestry: A Preliminary Exploration;Smart Innovation, Systems and Technologies;2023

2. A Survey on Computational Aptitudes towards Precision Agriculture using Data Mining;2022 3rd International Conference on Smart Electronics and Communication (ICOSEC);2022-10-20