Detecting sugarcane and citrus diseases using hyperspectral aerial images

This activity is part of "Close-range spectral and active sensors and machine learning for Digital Agriculture", click here to see other related activities.

Type:

TALK

Category:

THEMATIC SESSION

Place:

SAMBAQUI 3

Date and time:

12:30 to 12:50 on 04/03/2023

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Guest speaker

Érika Akemi Saito Moriya

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TITLE.dr Antonio Maria Garcia Tommaselli

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Advances in UAS based multi- and hyperspectral remote sensing for digital agriculture

Eija Honkavaara

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High resolution remote sensing applications for estimating underground crop yield

TITLE.prof_dr Rouverson Pereira da Silva

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