[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123835-en":3,"doc-seo-123835-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},123835,4398048949847,"Eliana","https://ap-avatar.wpscdn.com/avatar/400002536579ef2da7f?_k=1778318612642679267",8,"Research & Report","Trust-based decentralized blockchain system with machine learning using Internet of agriculture things","The growth of Internet of Agriculture Things (IoAT) together with wireless technologies has improved smart farming, yet reliably predicting soil and crop conditions and delivering quality-enabled autonomous operation remain open challenges. Network overloading and weak trust handling limit trustworthy communication in many existing approaches. This paper proposes a smart optimization model for reliable, quality-aware sustainable agriculture using machine learning, combining intelligent devices for automated data collection and transmission with analyses that support consistent forwarding decisions, and integrating blockchain-based security to reduce communication interference. Simulations and experiments validate improved performance on network parameters.","Computers and Electrical Engineering 108 (2023) 108674  \nContents lists available at ScienceDirect  \nComputers and Electrical Engineering  \njournal [homepage: www.elsevier.com/locate/compeleceng](homepage: www.elsevier.com/locate/compeleceng)  \n| Trust-based decentralized blockchain system with machine learning using Internet of agriculture things |  |  |\n| --- | --- | --- |\n| Tanzila Saba a, Amjad Rehman a, Khalid Haseeba, b, Saeed Ali Bahajc, Jaime Lloret d, e, *\u003Cbr>a Artificial Intelligence & Data Analytics Lab (AIDA) CCIS, Prince Sultan University, Riyadh 11586, Saudi Arabia b Department of Computer Science, Islamia College Peshawar, Peshawar 25120, Pakistan\u003Cbr>c MIS Department College of Business Administration, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia d Universitat Politenica de Valencia, Spain\u003Cbr>e Staffordshire University, Stoke, UK |  |  |\n| A R T I C L E I N F O | A B S T R A C T\u003Cbr>The growth of Internet of Agriculture Things (IoAT) with wireless technologies has resulted insignificant advances for smart farming systems. However, various techniques have been presented to predict the soil and crop conditions. Nonetheless providing a quality-enabled autonomous system is one of the important research challenges. Furthermore, in the event of network overloading, most existing work needs help to handle trustworthy communication. As a result, this paper proposes a smart optimization model to develop reliable and quality-aware sustainable agriculture using machine learning. Firstly, the proposed model utilizes intelligent devices to automate the data collection and transmission. It analyzes the independent performance variables to support the consistent decision-making process for the forwarding scheme. Secondly, the proposed model investigated blockchain-based security principles for integrating the trusted system to reduce communication interference. The proposed model has been validated through simulations, and numerous experiments have demonstrated its efficacy regarding network parameters. |  |\n| This paper is for CAEE special section VSI: agr2. Reviews processed and recommended for publication to the Editor-in-Chief by Guest Editor Dr Kumar Prabhat. |  |  |\n| Keywords:\u003Cbr>Machine learning Network trust Computing resources Agriculture Economic growth |  |  |\n\n1. Introduction  \nIn recent years, wireless systems based on the Internet of Things (IoT) have seen significant growth in various industries. IoT is a network that allows physical devices, equipment, sensors, and other items to communicate without human intervention [1,2]. Modern technologies are being implemented in the agriculture sector using wireless devices to increase farming productivity and management of costs. Precision agriculture uses smart IoT devices for remote sensing and monitoring crop conditions at various growth stages [3,4]. One of the most significant economic sectors in many nations is agriculture, which emphasizes the significance of effectively managing the water resources for plants, crops and maintaining the survival of agricultural land. Sensor systems are one of the most frequently used technologies in deploying precision agriculture. Remote sensing techniques have started interacting with IoT devices for autonomous functions using sensors’ communication and data aggregation functionalities. Several real-time situations exploring  \nThis paper was recommended for publication by Associate Editor Dr Kumar Prabhat.  \n* Corresponding author at: Universitat Politenica de Valencia, Spain.  \nE-mail address: jlloret@dcom.upv.es (J. Lloret).  \n[https://doi.org/10.1016/j.compeleceng.2023.108674](https://doi.org/10.1016/j.compeleceng.2023.108674)  \nReceived 14 May 2022; Received in revised form 6 March 2023; Accepted 9 March 2023 Available online 22 March 2023  \n0045-7906/© 2023 The Author(s). Published by Elsevier Ltd. 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decision-making for the forwarding scheme.\"},{\"question\":\"What role does blockchain play in the system?\",\"answer\":\"The approach investigates blockchain-based security principles to integrate a trusted system and reduce communication interference, while protecting IoT information in critical situations.\"}]","Trust-based decentralized blockchain system with machine learning using Internet of agriculture things | 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