Paper Title
EDGE-AI AND MULTI-SENSOR MONITORING FOR SUSTAINABLE AGRICULTURE

Abstract
This paper proposes the design and implementation of an automated Internet of Things based smart irrigation and plant monitoring system with the ESP8266/ESP32 architecture. The proposed system will incorporate multi-modal sensors for soil moisture, ultrasonic sensors for water level, and precise light intensity with the BH1750 sensor. The proposed system will differ from traditional systems with the incorporation of a dual- layered control logic, which will include the 'Offline Mode' and 'IoT Mode' with the support of the Blynk cloud platform. The proposed system will also incorporate a critical safety feature with the incorporation of the ultrasonic sensor for calculating the capacity of the tank and hence preventing pump dry-running with the incorporation of a software-defined threshold. Additionally, the proposed system will incorporate an automated grow light system with the support of Pulse Width Modulation (PWM) for adjusting the intensity of the lights based on the Lux values. The proposed system will be beneficial for optimizing the usage of water with the incorporation of real-time sensor feedback and hence making it a scalable solution for both indoor gardening and precision agriculture. Keywords - IoT, ESP8266, Smart Irrigation, BH1750, Blynk Cloud, Precision Agriculture, Water Level Management