Design and implementation of IoT sensors for nonvisual symptoms detection on maize inoculated with Exserohilum turcicum

Author:

Maginga Theofrida J.ORCID,Bakunzibake Pierre,Masabo Emmanuel,Massawe Deogracious P.,Agbedanu Promise R.,Nsenga Jimmy

Publisher

Elsevier BV

Subject

Artificial Intelligence,General Agricultural and Biological Sciences,Computer Science (miscellaneous)

Reference50 articles.

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2. First report of maize chlorotic mottle virus and maize lethal necrosis in Kenya;Wangai;Plant Dis.,2012

3. National Agricultural Research Organization (NARO), “Pests and diseases management in maize,” 2011. https://teca.apps.fao.org/teca/fr/technologies/7019 (accessed Jul. 18, 2022).

4. Plant disease diagnosis: technological advancements and challenges;Balodi;Indian Phytopathol.,2017

5. Detection of diseased plants by analysis of volatile organic compound emission;Jansen;Annu. Rev. Phytopathol.,2011

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