Phenological and agronomic events detected through data fusion techniques

• Grant number: 25/21967-4
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: November 01, 2025
• End date: October 31, 2027
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Jayme Garcia Arnal Barbedo
• Grantee: Grazieli Rodigheri
• Host Institution: Embrapa Agricultura Digital. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Campinas , SP, Brazil
• Associated research grant: 22/09319-9 - Center of Science for Development in Digital Agriculture - CCD-AD/SemeAr, AP.CCD

Abstract

Agriculture is one of the fields that most benefits from the advancement of modern monitoring sensors, which increase the availability of data in both quantity and quality with each new device. This increase, however, also brings another challenge: employing data of different natures and configurations in an integrated way to achieve a significant improvement in the accuracy of analytical results. Data fusion is a set of techniques that supports this integration but still faces inherent technical and scientific challenges. In this context, the present work aims to apply techniques to evaluate and address points of uncertainty and to test data fusion methods for the identification of agronomic and phenological events in crops associated with the DATs. (AU)