Iot-Based Monitoring Systems For Optimized Crop Yield Management

Abstract

Crop yield management has transformed through Internet of Things (IoT) technology applications which allow continuous observation among data-oriented decision solutions. The research creates a monitoring system using IoT technology which optimizes crop yield through Precision Agriculture with LoRaWAN sensors for wireless network communication. Soil humidity sensors together with temperature sensors and moisture meters and nutrient solution detectors monitor real-time environmental conditions that farmers use to establish optimal watering regimes and nutrition schedules and pest control practices. LoRaWAN provides long-distance low-energy operation at affordable prices which makes it an excellent solution for extensive farming across distant locations. The implemented system enables farmers to base their decisions on data through an automated platform which maximizes both operational efficiency along with environmental conservation. The investigation demonstrates IoT paired with precision agriculture has the ability to rethink traditional farming by developing sustainable operations throughout fields by using modern technology for improved yield production and food safety assurance.