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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.
Satellite crop monitoring technology allows to perform online crop monitoring on different fields, located in different areas, regions, even countries and on different continents. The technology's advantage is a high automation level of sown area condition and its interpretation in an interactive map which can be read by different groups of users.
Permanent indicators—chiefly soil indicators—provide farmers with information about the main environmental constants. Point indicators allow them to track a crop's status, i.e., to see whether diseases are developing, if the crop is suffering from water stress, nitrogen stress, or lodging, whether it has been damaged by ice, and so on. This ...
Droughts are expected to become more wide-reaching, frequent and extreme (Getty Images) Droughts are caused by periods of drier-than-normal conditions, when little or no rain falls.
Bacterial diseases; Bacterial leaf blight and stalk rot: Pseudomonas avenae subsp. avenae. Bacterial leaf spot: Xanthomonas campestris pv. holcicola. Bacterial stalk rot:
Hyperspectral images shot with a drone are then used to generate a survey of the land. [13] The data can be used for detecting invasive species and crop diseases, predicting yields, or for optimising soil treatment and fertilisation.
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]
The Food and Agriculture Organization estimates that pests and diseases are responsible for about 25% of crop loss. To solve this, new methods are needed to detect diseases and pests early, such as novel sensors that detect plant odours and spectroscopy and biophotonics that are able to diagnose plant health and metabolism .