Digital Agriculture: Harnessing IoT and Data Analytics for Smart Farming Solutions

Abstract

The integration of convolutional neural networks (CNN) and the Internet of Things (IoT) is an increasingly popular subject among scholars due to its potential to revolutionize the agricultural sector. The IoT will decrease resource wastage by enabling farmers to utilize sensor node data for decision-making instead of just depending on expertise. (e.g., fertilizers, water, pesticides, and fumigants). CNN enhances monitoring systems by predicting the amount of consumable resources needed to improve productivity and detect agricultural illnesses early. SAgric-IoT is a technological platform created for precision agriculture. It combines CNN and IoT to monitor physical and environmental factors, identify illnesses at an early stage, and manage greenhouse irrigation and fertilization. The findings indicate that SAgric-IoT is a dependable Internet of Things (IoT) platform characterized by minimal packet loss, significant energy conservation, and disease detection and classification processes exceeding 90% accurate.