A Fuzzy Multi-Objective Optimization Model for Fertilizer Allocation: Zone Partitioning via CryStAl and MILP-Based Bandwidth-Constrained Routing

A Fuzzy Multi-Objective Optimization Model for Fertilizer Allocation: Zone Partitioning via CryStAl and MILP-Based Bandwidth-Constrained Routing | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Fuzzy Multi-Objective Optimization Model for Fertilizer Allocation: Zone Partitioning via CryStAl and MILP-Based Bandwidth-Constrained Routing Muthukumaran Harikumaran, Ponnan Vijayalakshmi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7778039/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Fertilizer recommendation plays a pivotal role in maximizing crop yield while minimizing environmental impact and nutrient loss. Traditional practices such as excessive fertilizer use and poor soil assessment have led to soil degradation, structural damage, and nutrient imbalances. To address these challenges, this study introduces a multi-objective, AI-powered framework within the domain of Precision Agriculture (PA). By leveraging zone-specific soil analysis and real-time data from strategically placed agro-sensors (Slave Nodes), the system delivers targeted recommendations. Sensor and UAV deployment are optimized using the Crystal Structure Optimization Algorithm (CryStAl), while a Bandwidth-aware Routing Protocol (BRP) ensures efficient and reliable data transmission. Data preprocessing integrates advanced techniques like the Versatile Loss Pass Weiner (VLPW) filter and Boosted U-Net (BU-Net) for image enhancement, along with outlier detection and dynamic interpolation for sensor data. An Advanced Fuzzy Inference System processes factors such as soil type, leaf disease, and climate conditions to suggest optimal fertilizer types and dosages. The proposed approach enhances resource efficiency, supports environmental sustainability, and improves crop productivity through intelligent, adaptive decision-making. Fuzzy Multi-Objective Optimization Precision Agriculture Bandwidth-Constrained Routing Sensor Deployment using CryStAl Intelligent Fertilizer Recommendation Full Text Cite Share Download PDF Status: Under Review Version 1 posted Reviewers agreed at journal 13 Oct, 2025 Reviewers invited by journal 12 Oct, 2025 Editor invited by journal 12 Oct, 2025 First submitted to journal 03 Oct, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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