A Comprehensive Study Of Plant Disease Detection Through Image Processing And Machine Learning

Agriculturalists can greatly benefit from techniques that forecast the kinds of illnesses that plants will encounter during their lives. This article provides information on these methods through a thorough survey that included a range of image-based plant leaf diseases. These illnesses often cause great harm and can affect any section of the plant. These illnesses cause enormous cumulative losses that lower output and raise financial losses in agriculture. The agriculture sector must persevere through these challenges and grow as a result to be very lucrative. This study examined the diagnosis of plant diseases using machine learning algorithms and general image processing methods that may be applied at various stages of a plant's life cycle. Numerous techniques based on automation or computer vision concepts are currently in place for identifying plant diseases. However, they lack precision and are hard to interpret. Furthermore, no single method can detect all conditions. For cultivation to be effective, the plant's status must be monitored at every growth stage.