Abstract
Black Sigatoka is a disease caused by the fungus Mycosphaerella fijiensis Morelet and is considered worldwide as one of the most destructive diseases in the musaceae, as it produces foliar necrosis in the leaves of banana and banana plants, and consequently the fruits do not possess the necessary characteristics for their consumption or for an effective commercial activity. This disease has spread to all areas where plantains or bananas are grown. The goal of this paper is the use of prediction models of Black Sigatoka outbreak in banana cultivation in order to design a wireless sensors network for remote monitoring of climatic variables related to the disease, allowing, this way, scheduling of fungicide treatments for early removal.
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Notes
- 1.
Musa (Musaceae scientific name) are a family of monocot plants known for their fruit (bananas and plantains).
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Subert-Semanat, A. (2019). Poster: Wireless Sensor Network to Predict Black Sigatoka in Banana Cultivations. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_18
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DOI: https://doi.org/10.1007/978-3-319-95678-7_18
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