IoT-Based Adaptive Agriculture System Using LSTM–XGBoost and Lightweight CNN for Smart Irrigation and Plant Disease Classification

Climate-Resilient Smart Agriculture Using IoT and Deep Learning

Climate change is having an increasing impact on agriculture, leading to erratic weather patterns and reduced crop yield. Traditional forms of farming do not always solve these problems. In an attempt to aid intelligent farming decisions, this paper proposes a smart agriculture system based on deep learning and the Int...

AgriSphere: A Smart Agriculture Framework Integrating IoT and Artificial Intelligence for Adaptive Crop Selection

An IoT- and AI-based framework to recommend suitable crops using current soil conditions and future weather forecasts supports proactive crop planning before sowing and improves sustainable farming decisions under changing climate conditions.

AI-Enabled IoT for Precision Agriculture and Smart Crop Management

Overall, the reviewed material indicates that integrating IoT sensing with AI/ML can support real-time monitoring, resource optimization and faster agricultural decisions, however, Internet dependence, cybersecurity, system complexity, adoption cost, limited datasets and reduced accuracy for visually similar crop disea...

IoT-based Precision Agriculture System using Drone Vision for Sustainable Farming

In this paper we proposed an IoT-integrated precision agriculture model that uses drones, wireless sensors, and artificial intelligence to make agriculture more efficient and sustainable. This model was designed with a five-layer structure that handles different stages, from collecting data to applying it in the real-w...

An artificial intelligence-based stacking ensemble framework for smart irrigation pump control using IoT sensor data

Efficient water management is essential for sustainable agricultural production, particularly in arid and semi-arid regions where water resources are limited. Machine-learning-based irrigation systems can support automated pump-operation decisions using environmental and soil-related sensor data. However, most previous...

Cloud-Assisted Smart Agriculture System using IoT Sensors And Python-Driven Machine Learning for Crop Yield Optimization and Soil Health Prediction