Revolutionizing Agriculture: An IoT-Driven ML-Blockchain Framework 5.0 for Optimal Crop Prediction

With cutting-edge technology development, the agricultural landscape is experiencing a revolutionary transformation. The Internet of Things (IoT)-driven Machine Learning (ML)- Blockchain framework 5.0 for agriculture presented in this paper is a ground-breaking system created to revolutionize crop forecasting and provide farmers with data-driven insights. The framework continually collects realtime data from sensor networks, utilizing the capabilities of the IoT to monitor critical environmental indicators and soil nutrient levels. ML techniques are used to analyze this extensive information, resulting in precise crop projections and customized insights for effective resource management. In this paper, we have experienced that the Support Vector Machine (SVM) model's prediction got an amazing accuracy for crops which is 97.73%. Blockchain technology plays a critical role in this system, providing a decentralized, tamper-proof ledger that ensures data transparency and integrity, bolstering credibility and facilitating collective decision-making among stakeholders, thereby cultivating trust and accountability within the agricultural community. Moreover, to enhance accessibility and engagement, a user-friendly online application has been created to enable stakeholders to access and examine crop projections and historical sensor data, facilitating user engagement and data visualization. The suggested framework imagines a new age in agriculture, where sustainable farming methods and precision farming boost crop yields and give agricultural communities more authority.