Development of an algorithm based on artificial intelligence to define potencial yield management zones

• Grant number: 20/08450-9
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: March 01, 2021
• End date: April 30, 2023
• Field of knowledge: Agronomical Sciences - Agronomy - Soil Science
• Principal Investigator: Leonardo Afonso Angeli Menegatti
• Grantee: Leonardo Afonso Angeli Menegatti
• Company: InCeres Desenvolvimento de Software e Processamento de Dados S/A
• CNAE: Atividades de apoio à agricultura
• City: Rio das Pedras
• Pesquisadores principais: Márcio Amado Duarte Santana de Almeida
• Associated researchers: Eduardo Antonio Speranza ; Leandro Maria Gimenez ; Ricardo Rodrigues Ciferri
• Associated scholarship(s): 21/12107-0 - Development of an algorithm based on artificial intelligence to define potential yield management zones, BP.TT; 21/03259-1 - Development of an algorithm based on artificial intelligence to define potential yield management zones, BP.TT

Abstract

The need to optimize agricultural management and the resources applied in the productive areas leads to seek more diverse technologies and bring them to the reality of agriculture. Increasing product levels, optimizing profits and minimizing costs are common objectives for all those involved in the activities of the Agro. To assist in this mission, the identification of regions with the same productive capacity through the analysis of simulation models of culture techniques and multivariate clustering techniques are alternatives for building solutions, which support the agricultural sector in optimizing its configuration system. of production environments, moving on to define the Intelligent Production Environments (API). This research project develops an algorithm capable of analyzing the multiple information of agricultural areas of customers. About more modern techniques of data analysis and crop simulation, how to define an autonomous algorithm, capable of defining areas of the same potential APIs in agricultural properties. (AU)