Published Paper Details:

India is a global agricultural powerhouse. It is the world's largest producer of milk, pulses and spices, as well as the largest area under wheat and rice. In India, farmers mainly depend on warehouses to store the harvest. So, to improve the quality of grain storage we came up with this idea and focus on the storage of grains after the yield is produced. Storage of food grains plays an important role to preserve grains for future use. Quality Grain checking helps monitor warehouses and prevent grain spoilage. To enhance the monitoring of food grain storage in warehouses, we propose the utilization of IOT devices. By continuously tracking temperature, carbon dioxide levels, and humidity, we can proactively identify and prevent spoilage of food grains. Additionally, we incorporate the use of Convolutional Neural Networks (CNN) and Machine Learning algorithms to study and analyze the patterns and behavior's associated with grain storage.