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Titlebook: International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD‘2023); Advanced Intelligent Mostafa Ezziyyani,J

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楼主: gingerly
发表于 2025-3-26 21:53:44 | 显示全部楼层
,An Overview of Simulation-Based Multi-objective Evolutionary Algorithms,ctive functions. Special attention is given to stochastic multi-objective problems as well as to combinations of multi-objective evolutionary algorithms with simulation techniques. Then we illustrate the principale working of cooperation between Simulation and MOEAs, and discuss their application sc
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Ant Trajectory Planning with Multi-agents Collaboration and Computer Vision, of Ant Colony Optimization (ACO) in guiding robots to navigate palm plantations for harvesting presents a promising solution to enhance productivity and reduce labor costs (Dorigo et al. .). This abstract introduces the utilization of ACO for the robotic harvesting of palm crops and presents the pr
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Monitoring and Assessment of Agricultural Dynamics in the Middle Sebou River by Using GIS (Morocco)ts riverine agriculture. This comprehensive study, conducted from 2008 to 2018, delves into the profound impacts of the Idriss I and Al Wahda Dams on the region‘s water resources. The research brings to light a discernible decline in the flow of the Sebou River, acting as a catalyst for a paradigm s
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IoT in Smart Farming: A Review,t connections. In the context of agriculture and aquaculture, IoT is utilized for monitoring and managing various aspects, including environmental conditions, water quality, crop health, and product traceability. Its use optimizes agricultural operations while reducing losses. On the other hand, art
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Leveraging Blockchain for Enhanced Traceability and Transparency in Sustainable Development,ng agriculture, healthcare, and finance. At the heart of our investigation is the exploration of blockchain’s decentralized architecture, its role in enhancing transparency, and the security of data management and transactions. We delve into blockchain’s capacity to address critical challenges in su
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Systematic Mapping Study on the Use of Deep Learning, Image Processing, and IoT in Precision Agricunvolves the use of Deep Learning (DL), Image Processing (IP), and the Internet of Things (IoT) to detect crop diseases, pests, and nutrient deficiencies, allowing for targeted and precise application of treatments. Our study involved an analysis of 238 papers published between 2009 and March 2023.Th
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