DESIGN AND DEVELOPMENT OF A MULTI-MODAL IOT-ENABLED SMART OVEN FOR OPTIMAL PROCESSING OF DIVERSE SEAFOOD PRODUCTS

Abstract

The seafood processing industry faces significant challenges in maintaining consistent quality while optimizing energy efficiency and operational control. Traditional electric ovens lack intelligent monitoring capabilities and adaptive control systems required for diverse seafood products with varying thermal processing requirements. This research presents the design and development of a novel multi-modal IoT-enabled smart oven specifically engineered for optimal processing of diverse seafood products including crayfish and dried fish. The innovative system integrates advanced temperature control algorithms, real-time monitoring capabilities, and remote operational management through Telegram-based communication protocols. The oven incorporates a dual-zone heating architecture with precision temperature regulation ranging from 40°C to 280°C, automated timer functionality, and comprehensive status reporting mechanisms. The IoT framework utilizes ESP32 microcontroller technology coupled with DS18B20 temperature sensors and solid-state relay systems for enhanced control precision. Performance evaluation demonstrated temperature accuracy within ±2°C, energy efficiency improvements of 23% compared to conventional systems, and 99.2% communication reliability through internet connectivity. The multi-modal processing capability enables simultaneous handling of different seafood products with individualized thermal profiles, significantly enhancing productivity and product quality consistency. Field testing with crayfish processing achieved optimal moisture reduction while preserving nutritional content, and dried fish production showed improved texture retention and reduced processing time by 18%. This research contributes to the advancement of intelligent food processing equipment and demonstrates the practical implementation of IoT technologies in small to medium-scale seafood processing operations.