The product quality control is an incredibly important necessity to get more value-added items. Numerous studies demonstrate the decline in agriculture product quality. Agrarian goods' quality might decline due to a variety of factors. Plant diseases are the primary cause of the decline in quality of it. As a result, a significant increase in product quality is made in order to reduce plant illnesses. A significant source of income for the world's expanding population is agriculture. Farmers hold the key to our nation's development. Numerous diseases damage plants as a result of environmental variables. Therefore, in order to ensure an adequate output, farmers feel pressure to detect plant illness early. Thanks to technology, identifying plant diseases has now become quite straightforward and easy. This study focuses on employing image processing to identify paddy leaf diseases at their earliest stages by examining the morphological changes in leaves. Additionally, utilising the Internet of Things, this technology informs farmers about illnesses that affect the paddy crops (IoT).

Plant, Diseases, IoT, Agriculture, Environmental and Factors