Development of an intelligent platform for analysis of operational and environmental preponderant factors to obtain forest productivity (K-IA Platform)

• Grant number: 23/06222-7
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: September 01, 2023
• End date: July 31, 2025
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering
• Principal Investigator: José Roberto Andrade Pereira Junior
• Grantee: José Roberto Andrade Pereira Junior
• Company: Kersys Desenvolvimento de Sistemas Ltda. - ME
• CNAE: Desenvolvimento e licenciamento de programas de computador não-customizáveis ; Consultoria em tecnologia da informação ; Suporte técnico, manutenção e outros serviços em tecnologia da informação
• City: São José dos Campos
• Pesquisadores principais: Ana Carolina Melo da Silva ; Emanoéli de Oliveira ; Felipe Torres Sampaio
• Associated research grant: 20/13772-5 - Development of an intelligent platform for analysis of operational and environmental preponderant factors to obtain forest productivity (K-IA Platform), AP.PIPE
• Associated scholarship(s): 24/03651-7 - Development of an intelligent platform for analysis of operational and environmental preponderant factors to obtain forest productivity (K-IA Platform), BP.TT; 23/18362-8 - Development of an intelligent platform for analysis of operational and environmental preponderant factors to obtain forest productivity (K-IA Platform), BP.TT; 23/17732-6 - Development of an intelligent platform for analysis of operational and environmental preponderant factors to obtain forest productivity (K-IA Platform), BP.TT; + associated scholarships 23/13757-4 - Development of an intelligent platform for analysis of operational and environmental preponderant factors to obtain forest productivity (K-IA Platform), BP.PIPE; 23/11883-2 - Development of an intelligent platform for analysis of operational and environmental preponderant factors to obtain forest productivity (K-IA Platform), BP.TT; 23/12520-0 - Development of an intelligent platform for analysis of operational and environmental preponderant factors to obtain forest productivity (K-IA Platform), BP.TT - associated scholarships

Abstract

With the increase in the volume of data produced in the field and industry by the forestry sector, there is currently a need to develop intelligent tools that are capable of properly exploring all this data, in the correct time and in its entirety, considering environmental, operational, and financial aspects simultaneously (Big Data). Tools like these, which add strategic value to existing databases in companies and optimize the decision-making process by directing the manager's actions through scientific criteria, are currently only accessible to large forestry producers who invest in customizing exclusive tools for their units or for agricultural production. In this context, and motivated by the demand of its clients, the company Kersys Desenvolvimento de Sistemas Ltda envisioned the possibility of developing a new product for its portfolio: the K-IA platform, which will offer the forestry manager intelligent tools for identifying production bottlenecks, determining preponderant factors in obtaining productivity in the field, and monitoring forests and creating forest planning scenarios. After developing Phase 1 of the PIPE and verifying the technical and commercial viability of developing the K-IA platform, this research proposal aims to develop it properly and begin its insertion into the software market focused on forestry. The proposed methodology aims to achieve four main results: (1) Classification of results from evaluated productive areas; (2) Presentation of technical justifications for the results obtained; (3) Evaluation, monitoring, and projection of financial results; (4) Optimization of the time of forestry managers through decision-making based on technical and scientific analysis of their data, offered by the platform. These results will be achieved by: (1) Integration of Machine Learning algorithms developed during Phase 1; (2) Optimization of the algorithms created based on customer feedback presented in structures within the K-IA platform itself; (3) Consolidation of relational database structures created for data integration; and (4) Development of the commercial version of the K-IA platform. (AU)