Sugarcane management platform: remote crop quality monitoring

• Grant number: 19/11567-8
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: December 01, 2019
• End date: August 31, 2022
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Physical Geography
• Agreement: FINEP - PIPE/PAPPE Grant
• Principal Investigator: Luiz Henrique Pereira
• Grantee: Luiz Henrique Pereira
• Company: IDGeo Inteligência em Dados Geográficos Ltda
• CNAE: Atividades de apoio à agricultura ; Consultoria em tecnologia da informação ; Pesquisa e desenvolvimento experimental em ciências físicas e naturais
• City: Piracicaba
• Pesquisadores principais: Mateus Vidotti Ferreira ; Ronan José Campos
• Associated researchers: Sergio dos Anjos Ferreira Pinto
• Associated research grant: 17/08449-8 - High frequency remote monitoring system for quality management and prediction of agricultural productivity, AP.PIPE

Abstract

Due to increased demand and greater competitiveness of sugarcane production in Brazil, the increase of productivity in the field and the optimization of resources are the key issue to be solved today. Seeking to contribute to maximizing productivity and reducing costs, the present research proposal aims to develop a specialist system for monitoring and supporting the management of raw material quality in the field, based on the integration of a dynamic analysis model of the performance of the Sugarcane growth and productivity prediction, with a diagnostic model and alert of the presence and evolution of plant anomalies in the crop. A combination of multisensor approaches and change detection is proposed in order to increase the frequency of spectral data collection, promoting detailed simulation of canevial evolution, and offering a tool for effective monitoring of agricultural operational efficiency in the field. (AU)