The allocation and recognition of cotton leaf diseases are of the major importance as they have a cogent and momentous impact on quality and production of cotton. This paper presents a modus operandi for automatic classification of cotton leaf diseases through feature extraction of leaf symptoms from digital images. Otsu’s segmentation method is used for extracting color and shape features. Sup...

To study the feasibility of monitoring the diseases and insect pests in tobacco using hyperspectral remote sensing, leaf spectrum of tobacco infected with diseases and insect pests at different severity levels was measured by using ASD hand-held spectroradiometers. The reflectance data was transformed by the method of the first differential coefficient. Meanwhile, the correlation between severi...

A model to predict Septoria tritici blotch (STB) and leaf rust effects on wheat growth was constructed and evaluated in two steps. At the leaf scale, Bastiaans' approach that predicts the relative photosynthesis of a wheat leaf infected with a single disease, was extended to the case of two diseases, one biotrophic and one necrotrophic by considering the leaf rust-STB complex. A glasshouse expe...

Jute (Corchorus spp.) leaf has long been used as a remedy in many cultures. Jute leaf products, which include the leaf juice, fried leaf, and some time whole green leaf, are used, among other reasons, as laxatives, in creams for skin care, and as a treatment for a wide range of diseases, respectively. The heterogeneous nature of jute leaf products may contribute to the diverse biological and th...

Plants play a vital role in our daily life. Plants are a great source of medicine for many diseases. Due to their fewer chances of side effects on human body and also better compatibility with humans, using plant for treating diseases is considered to be safer. Other items like paper, bio-diesel are also obtained by using plant material. Hence identification of plants is a very important task h...

The method for applying machine learning to automatically detect leaf diseases is presented in this paper. A convolutional neural network was used extract pertinent features from image datasets that included healthy and diseased leaves. dataset compiled pre-processed. Accuracy, precision, recall measures were assess the algorithm after it had been trained on labeled dataset. According findings,...

Several leaf spotting or blotching fungal diseases occur on forest trees in Guilan province (N Iran). Some of them such as maple tar spot affect health of host trees severely, but many are of minor effect. This study was carried out to identify unknown and less known fungi causing leaf spot and leaf blotch diseases on broad leaf trees in this region. So far numerous fungi were collected. Four s...

Studies on some bacterial diseases of fruit plants from Aurangabad district was carried out during 2003-2009. They are: Leaf necrosis of Custard apple caused by Xanthomonas annonae; Citrus canker caused by Xanthomonas campestris pv. citri; Bacterial canker of Mango caused by Xanthomonas campestris pv. mangiferaeindicae; Leaf necrosis of Guava caused by Xanthomonas psidae; and leaf spot of Badam...