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In the YouTube video "Assinatura espectral do nematoide da haste verde em soja" (Spectral signature of the green stem nematode in soybean), a research project is presented to develop a methodology for identifying symptoms of the green stem nematode (GSN) in soybean using spectral radiometry. Funded by FAPemat, the project aims to create a method for identifying GSN symptoms and obtain a spectral signature through spectral radiometry. The project is significant for Brazil, the world's leading soybean producer, and Mato Grosso, its principal producer. GSN, caused by the nematode Aelenchthus coides, is a recent problem with potential losses reaching up to 100% in affected areas. The researchers believe that hyperspectral sensing could aid in identifying infested areas. The project was proposed by Embrapa Agrosilvopastoral in partnership with Embrapa Soja, Universidade do Estado do Mato Grosso, Nemate Campos, Sinop, and students from IFMT and UFMT. The results showed that using a spectroradiometer to capture spectral signatures in soybean plants yielded records of healthy and infested plants, with interference in foliar reflectance in relation to nematode inoculation levels. The next step is to refine this methodology to develop a sensor for direct monitoring of soybean fields. The project aims to disseminate results to the productive sector and generate scientific applications, with the participation of students being crucial. The speaker expresses gratitude to all partners for their collaboration.
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