Paper Title
IOT-ENHANCED FOOD SUPPLY SYSTEM FOR MULTI-CROPPING IN AQUACULTURE

Abstract
Abstract – The work mainly delves into the optimization of multi-cropping techniques within the field of Aquaculture, with a primary focus on boosting productivity and reaping commercial benefits. The endeavor is driven by a group of engineering students, aiming to streamline processes and reduce dependency on manual labor. Through the strategic integration of Internet of Things (IoT)-based sensors and advanced software implementations, the project seeks to revolutionize the sector by introducing automation and efficiency, specifically targeting improved food provisioning. Addressing various aquatic environments-freshwater, brackish water, and marine-the project accommodates a wide array of culture organisms. It explores an array of methodologies, including fish ponds, fish pens, cages for freshwater aquaculture. Coastal fish ponds stand out as the hub for brackish water aquaculture. The diversity in culture systems spans from extensive setups to intensive ones, dictated by factors such as stocking density, input levels, and management intricacy. This project aligns with government priorities in regions grappling with limited access to expansive water bodies, where aquaculture presents a vital solution to domestic demand for fish. This synthesis aims to reshape traditional aquaculture techniques, accentuating more effective and sustainable food production methods. Ultimately, the project's mission revolves around enhancing the viability of multi-cropping strategies, further propelling the evolution of aquaculture practices. Keywords - Aquaculture, Automation, Iot-Based Sensors, Multi-Cropping.