SMART AGROCARE An AIDriven Advisory System With Weather Insights And Intelligent Crop Health Management

SMART AGROCARE is an AI-driven advisory system designed to support precision agriculture by integrating intelligent weather analysis with automated crop health monitoring. The system provides a unified platform that enables farmers and agricultural stakeholders to make informed decisions using data-driven insights. It processes structured environmental data and plant leaf images to evaluate climatic conditions and crop health status effectively. Multiple machine learning models, including ARIMA, Logistic Regression, Naive Bayes, and CNN-based approaches, are implemented for weather detection and prediction using parameters such as temperature, humidity, wind speed, cloud cover, and precipitation. The system also allows dataset upload, model evaluation, and visualization of prediction outcomes, ensuring transparency and reliability in agricultural decision-making. For plant disease detection, SMART AGROCARE employs advanced deep learning architectures such as Convolutional Neural Networks (CNN), DenseNet, ResNet, and MobileNet to analyze leaf images and accurately classify crops as healthy or diseased. These models learn complex visual features related to texture, color, and patterns, enabling early identification of crop health issues. Based on the predicted weather conditions and crop health status, the system generates timely alerts to the user, helping them remain aware of conditions that may impact agricultural productivity. By combining weather intelligence with crop health assessment, SMART AGROCARE supports proactive farm management, reduces potential crop losses, and promotes efficient use of agricultural resources. The system demonstrates the practical application of artificial intelligence and deep learning in building scalable, reliable, and user-centric smart farming solutions.

Keywords: Smart Agriculture, Weather Prediction, Plant Disease Detection, Machine Learning, Deep Learning, CNN, DenseNet, ResNet, MobileNet, ARIMA, Precision Farming, Agricultural Alerts