A Neoteric Procedure for Spotting and Segregation of Ailments in Mediciative Plants using Image Processing Techniques

Abstract

Medicines have always been of the utmost importance in every era due to their curing properties. Now-a-days, medicines for almost every disease are available. Also, different kinds of medicinal systems have come into existence. Despite the present era, in the ancient era, there existed only one medicinal system, known as Ayurveda that is considered the backbone of medicinal systems. The medicines are prepared from medicinal plants. Now-a-days, many countries have moved to Ayurveda. Medicinal plants are harvested in a similar manner as food crops are harvested in agricultural fields. Diseases in plants reduce the quality and quantity of the product. Also, the medicines would not be useful if prepared using diseased plants. Thus, monitoring health is a must. Manual inspection is a tiring task with a huge loss of budget and time, and the loss increases with the size of the agricultural field. Thus, image processing techniques have proven to be beneficial for detecting, identifying, and classifying diseases in medicinal plants, as they reduce the need for tiresome field inspection and also save time and money. Diseases can be detected as early as when they start appearing on the surface of the plants, thus helping in the taking of appropriate preventive measures to stop the growth of the disease and even prevent it from occurring in the future. Detection and classification of diseases comprise steps of image processing. The different detection techniques are described. Also, a new technique is proposed for identifying and classifying diseases in medicinal plants.