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The plant disease triangle represents the factors necessary for disease to occur. Plant disease forecasting is a management system used to predict the occurrence or change in severity of plant diseases. At the field scale, these systems are used by growers to make economic decisions about disease treatments for control.
Plant disease epidemiology is the study of disease in plant populations. Much like diseases of humans and other animals, plant diseases occur due to pathogens such as bacteria , viruses , fungi , oomycetes , nematodes , phytoplasmas , protozoa , and parasitic plants . [ 1 ]
Plant diseases are diseases in plants caused by pathogens (infectious organisms) and environmental conditions (physiological factors). [1] Organisms that cause infectious disease include fungi , oomycetes , bacteria , viruses , viroids , virus -like organisms, phytoplasmas , protozoa , nematodes and parasitic plants . [ 2 ]
Plant disease triangle. Epidemiology is the study of factors affecting the outbreak and spread of infectious diseases. [10] A disease triangle describes the basic factors required for plant diseases. These are the host plant, the pathogen, and the environment. Any one of these can be modified to control a disease. [11]
Nuru is an artificial intelligence/machine learning mobile app that automatically diagnoses Cassava diseases, fall armyworm in maize/corn, potato diseases, and wheat diseases. [26] [27] It is Swahili for 'light' to symbolize how the app can bring light to smallholder farmers in Africa who typically lack access to expert knowledge systems.
The mechanic will first try to detect any abnormal behavior based on the observations on the car and his knowledge of this type of vehicle. If he finds out that the behavior is abnormal, the mechanic will try to refine his diagnosis by using new observations and possibly testing the system, until he discovers the faulty component; the mechanic ...
In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space. Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances. Written ...
This category includes economically significant plant diseases and the organisms that cause them including, fungi, bacteria, protists and viruses. For more information on plant pathology see phytopathology. For insects that transmit plant pathogens see Insect vectors of plant pathogens.