The subject under consideration is the issue of detecting agricultural crop diseases. preliminary data for determining phytosanitary status cultivated plants are images their leaves. To tackle this issue, a model diagnostic algorithms has been proposed, which involves creating set preferred characteristics and making decisions based on comparing these features. process establishing outlined. ef...

Plant diseases can be infectious type caused by pathogens or noninfectious type caused by nutrients deficiencies in plant, by waterlogged or polluted soil, and by polluted air. Detection of the diseases through human vision requires continuous monitoring of the leaves, stems of plants by the experts which is time consuming process. In this context Digital image processing plays a vital role in ...

Biochar, in addition to sequestering carbon, ameliorating soil, and improving plant performance, can impact foliar and soilborne plant diseases. Nevertheless, the mechanisms associated with suppression of soilborne diseases and improved plant performances are not well understood. This study is designed to establish the relationships between biochar-induced changes in rhizosphere microbial commu...

Medicinal plants are in prevalence from the origin of the earth which has been efficiently used by ancient people as a cure for various ailments. The plant extracts are identified and act as an important source of active ingredient and secondary metabolite products such as alkaloid, terpenoids, which is used in curing diseases, for drug production and perpetuating good health by both the tradit...

This paper presents a proposed expert system to identify the leaf diseases of three cereal crops (rice, maize and wheat). Keeping in view the advances in the field of agriculture and need of farmers, this expert system has been proposed. The identification of plant diseases is usually a difficult task and requires a plant pathologist or well-trained technician to accurately describe the case. M...

The present work proposes a methodology for detecting plant diseases early and accurately, using diverse image processing techniques and artificial neural network (ANN). Farmers experience great difficulties in changing from one disease control policy to another. Relying on pure nakedeye observation to detect and classify diseases can be expensive various plant diseases pose a great threat to t...

Diseases in plants cause major production and economic losses as well as reduction in both quality and quantity of agricultural products. Now a day’s plant diseases detection has received increasing attention in monitoring large field of crops. Farmers experience great difficulties in switching from one disease control policy to another. The naked eye observation of experts is the traditional a...

Indigenous plant remedies are widely used in the treatment of variety of disorders because these products are safe, widely available at low cost, and easy to access. Developing countries are severely threatened by amoebic diseases mainly caused by Entamoeba histolytica. Drugs available have been reported to be mutagenic so an alternate source of medicines is highly required. Plant extracts have...

The shared diseases between animals and humans are known as zoonotic diseases and spread infectious diseases among humans. Zoonotic diseases are not only a major burden to livestock industry but also threaten humans accounting for >60% cases of human illness. About 75% of emerging infectious diseases in humans have been reported to originate from zoonotic pathogens. Because antibiotics are freq...

Plant disease detection is emerging field in India as agriculture is important sector in Economy and Social life. Earlier unscientific methods were in existence. Gradually with technical and scientific advancement, more reliable methods through lowest turnaround time are developed and proposed for early detection of plant disease. Such techniques are widely used and proved beneficial to farmers...