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Integrated forest monitoring system - Smartforest: technological revolution in forest inventories

Grant number: 17/07593-8
Support Opportunities:Research Grants - Innovative Research in Small Business - PIPE
Duration: December 01, 2017 - May 31, 2020
Field of knowledge:Agronomical Sciences - Forestry Resources and Forestry Engineering - Forest Management
Convênio/Acordo: FINEP - PIPE/PAPPE Grant
Principal Investigator:Esthevan Augusto Goes Gasparoto
Grantee:Esthevan Augusto Goes Gasparoto
Host Company:Treevia Serviços de Engenharia Ltda. - ME
CNAE: Atividades de apoio à produção florestal
Desenvolvimento e licenciamento de programas de computador customizáveis
Serviços de engenharia
City: São José dos Campos
Pesquisadores principais:
Emily Tsiemi Shinzato
Associated researchers: Alberto Mitsuya Shinzato
Associated research grant:15/15563-6 - Technological revolution in forest monitoring: development of an integrated system for monitoring and measuring forest through telemetry and laser scanning for cables, AP.PIPE
Associated scholarship(s):20/01315-9 - Mathematical, computational modeling and application of new biometric algorithms used in AI (Artificial Intelligence), BP.TT
19/03686-7 - Development of the Android mobile application and web API platform for the interaction of IoT end-devices with the cloud layer., BP.TT
19/06739-4 - Development of Business Intelligence indexes in the application of new biometric algorithms to the Smartforest system, BP.TT
+ associated scholarships 18/20371-7 - Development and application of new biometric algorithms based on IA, BP.TT
18/10703-2 - Critical and elastic microservices development for IoT (Internet of Things) that allows the analysis of predictive biometrics in AI (Artificial Intelligence), BP.TT
18/06429-2 - Implementation of the Unit Test layers and BI Reports for the SmartForest - Forest Monitoring System, BP.TT
18/07820-7 - Development of new data visualization methods for forest inventory, BP.TT
18/00843-1 - Firmware development of the electronic prototypes that compose the SMARTFOREST system, BP.TT
18/00282-0 - Unraveling the B2B relationship of products and services supply by startups / ag-techs to large forestry companies, BP.TT
17/24009-8 - Connected forests: remote forest intelligence development, BP.PIPE
17/24594-8 - Development of alpha and beta testing in SmartForest solution (hardware and software), integrating research and practice, BP.TT
17/24010-6 - Development of an integrated forest monitoring system: SmartForest, BP.PIPE - associated scholarships

Abstract

The technology used in forest inventories remains unchanged for decades, despite the huge development in the same period in all areas of science. The current technological evolution supported by the tripod, internet of things, big-data and artificial intelligence, widely diffused in several sectors of the economy and responsible for significant gains in productivity, has not yet reached the forest sector. The proper management of natural, public or private resources of a country depends on the quality of information generated by continuous forest inventory (CFIs). Data collection in the field, as it is currently performed, presents low yield, high cost and low reliability. This impairs the rapid response capacity of companies and governments in the presence of abnormalities such as low growth, mortality and fire. This proposal aims at the full development of the SMARTFOREST solution, a family of IoT sensors integrated with an intelligent web platform with the goal of connecting the forests to the Internet and automating the process of forest monitoring, which has already had its technical feasibility and During Phase 1. It is expected by the end of this project to achieve a commercial availability of the solution. When turning into a more mature solution for forest monitoring, problems regularly faced by professionals working with forest monitoring will be eliminated, given the knowledge of important parameters of the vegetation of a region, such as biomass, carbon content, vegetation healthiness, structural features and the ability to carry out its productive and ecological functions. The results will enable real-time forest monitoring from anywhere in the world, providing forest and natural resource managers with greater responsiveness and decision-making. If contemplated, the project will have a significant impact among researchers and professionals in agribusiness and forest management, both in Brazil and abroad, since the automation of data collection systems, is practically unchanged for more than a century. This innovation will take the techniques of field measurement to the era of Internet of Things (IoT) and Artificial Intelligence (AI), worldwide trends in all sectors of the economy. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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