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From seed to cup: internet of things technology in the quality coffee production chain

Grant number: 21/06968-3
Support Opportunities:Research Projects - Thematic Grants
Start date: January 01, 2022
End date: December 31, 2026
Field of knowledge:Agronomical Sciences - Agronomy - Soil Science
Agreement: MCTI/MC
Principal Investigator:Luiz Roberto Guimarães Guilherme
Grantee:Luiz Roberto Guimarães Guilherme
Host Institution: Escola de Ciências Agrárias. Universidade Federal de Lavras (UFLA). Ministério da Educação (Brasil). Lavras , SP, Brazil
Pesquisadores principais:
André Pimenta Freire ; Antonio Chalfun Junior ; Cleiton Antônio Nunes ; Júlio Cézar Estrella ; Laurence Rodrigues do Amaral ; Luiz Henrique Andrade Correia ; Marcelo Braga Bueno Guerra ; Marco Aurélio Carbone Carneiro ; Matheus de Souza Gomes ; Michele Duarte de Menezes ; Sérgio Henrique Godinho Silva
Associated researchers: Aline Oliveira Silva ; Ana Carla Marques Pinheiro ; André de Lima Salgado ; Andrew John Margenot ; ARNON AFONSO DE SOUZA CARDOSO ; Bruno Teixeira Ribeiro ; Charith Perera ; Cynthia de Oliveira ; Emilene Zitkus de Andrade ; Erick Galani Maziero ; Kamila Rios da Hora Rodrigues ; LETICIA LOUIZE GONCALVES TESSARO ; Líbia Diniz Santos ; Marcelo Braga Bueno Guerra ; Patrick H. Brown ; Pedro Luiz Lima Bertarini ; Rafael Serapilha Durelli ; Raphael Ricon de Oliveira ; Sara Mónica Moutinho Barbosa de Melo ; Somsubhra Chakraborty ; Stephan Reiff-Marganiec ; Yufang Jin
Associated scholarship(s):25/05387-8 - Quality control of roasted and ground coffee using portable spectrometric methods, BP.IC
24/14338-8 - Spatial and temporal mapping of carbon stock in coffee plantations in Cerrado aided by proximal and remote sensing, BP.IC
24/09330-8 - Delineation of coffee terroir zones using machine learning and support of portable X-ray fluorescence, BP.IC
+ associated scholarships 23/14932-4 - Monitoring the color of coffee leaves using a portable sensor and relationship with the elemental composition obtained using X-ray fluorescence, BP.IC
23/00474-4 - Sensors associated with the internet of things to connect the environment, genetics and processing to the chemical and sensory profile of specialty coffees, BP.PD
22/14831-0 - Flowering and fruit ripening quantification by image analysis to forecast coffee production, BP.PD
22/11209-7 - QUANTIFICATION OF FLOWERING AND FRUIT MATURATION BY DIGITAL IMAGE TO ANALYZE AND PREDICT COFFEE HARVEST, BP.IC
22/11214-0 - Design and Evaluation of Interactive Applications to Support the Coffee Chain Production, BP.IC - associated scholarships

Abstract

Brazil is the world's largest producer (ca. 48.8 million bags of Arabica coffee in 2020) and exporter of coffee, which is one of the most important sources of income for Brazilian economy. Currently, the coffee agribusiness encompasses about 1900 producing municipalities, 370,000 coffee growers, 1 million rural workers, and more than 8 million Brazilians who depend on the agro-industrial activity of the coffee chain. Maintaining this leadership in beans production volumes is strategic, but quality is another very important issue. The qualitative attributes perceived in the coffee beverage depend on the genetic, environmental, and technological factors involved in beans development. Environmental factors are composed of temperature, humidity, altitude, latitude, solar radiation, water, and soil. Each factor contributes individually to beverage quality, yet the coffee plant in nature will express itself according to the interactions of these factors. Because of these characteristics, coffee is essentially a terroir product, i.e., influenced directly by environmental resources and conditions. The Arabica coffee production in Brazil extends North-South, providing the formation of diverse environments. As a result of these interactions between the crop and the various environments, coffees from Brazil have an immense diversity of aromas and flavors and distinct characteristics and attributes, which allow for countless combinations and the elaboration of highly differentiated products. Thus, studying the different interactions of environmental factors is key to explain the complexity of the quality phenomenon. This project aims to investigate the use of internet of things technology to improve the production chain of coffee aiming at cup quality. The project is composed of an international interdisciplinary team with researchers from Soil and Plant Sciences, Computer Science, and Design. The research encompasses technological challenges in different stages of the coffee production chain. The first stage of the project targets remote and proximal sensing to identify/characterize soils, plants, agricultural inputs, and environmental features that interact with each other to give directions for predicting applied variables in order to supply information for better decision-making during the production, harvesting, and post-harvesting steps, which will improve the understanding of producers, consumers, and exporters on coffee quality aspects. The second stage comprises research about network and communication technologies used in the field and at different locations involved in the production chain, such as cooperative warehouses. The third stage targets research on infrastructure to receive, store, and process information using cloud computing. The fourth stage comprises research on Data Science techniques to support decision-making in different aspects of the coffee production chain. Finally, the fifth stage involves research on the design and evaluation of interactive applications used in different stages of the coffee production chain, such as dashboards with visual analytics for producers and exporters, and consumer applications to trace origin and quality characteristics, based on data collected throughout the production chain. The project's expected outcomes include technological and scientific advancements in the application of internet of things technologies to the coffee production chain. The project has significant economic and social impact, using internet technologies to improve one of the most relevant agricultural activities in Brazil. Moreover, the project will generate scientific contributions not only to coffee production research, but also to the advancement of challenges to use internet of things in the field and innovative interactive applications employing Data Science. Lastly, we understand that many outcomes of this project will be certainly applicable to many other agricultural production chains in Brazil. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications (18)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
CARVALHO FERREIRA, LUDMILLA JANNE; GOMES, MATHEUS DE SOUZA; DE OLIVEIRA, LILIANE MACIEL; SANTOS, LIBIA DINIZ. Coffee fermentation process: A review. Food Research International, v. 169, p. 15-pg., . (21/06968-3)
COELHO, EMERSON G.; BERTARINI, PEDRO L. L.; GOMES, MATHEUS S.; AMARAL, LAURENCE R.; ZOTARELLI, MARTA F.; SANTOS, LIBIA D.; SANTANA, RICARDO C.. Physicochemical and Sensory Properties of Arabica Coffee Beans of Arara cv. Dried Using Different Methods. FOODS, v. 13, n. 5, p. 17-pg., . (21/06968-3)
SILVA, LIVIA C. F.; PEREIRA, PAULO V. R.; DA CRUZ, MARCELO A. D.; COSTA, GISELE X. R.; ROCHA, RENATA A. R.; BERTARINI, PEDRO L. L.; DO AMARAL, LAURENCE R.; GOMES, MATHEUS S.; SANTOS, LIBIA D.. Enhancing Sensory Quality of Coffee: The Impact of Fermentation Techniques on Coffea arabica cv. Catiguá MG2. FOODS, v. 13, n. 5, p. 18-pg., . (21/06968-3)
RIBEIRO, DIEGO; BOCOLIN, FERNANDA ALMEIDA; DE PADUAN, EDUANE JOSE; TEIXEIRA, ANITA FERNANDA DOS SANTOS; GUILHERMEN, LUIZ ROBERTO GUIMARAES; DE MENEZESN, MICHELE DUARTE; CURIN, NILTON; SILVAN, SERGIO HENRIQUE GODINHO. Effectiveness of proximal and remote sensing to trace soils spatial variability: A study case in a Brazilian Cerrado coffee farm. Ciência e Agrotecnologia, v. 48, p. 18-pg., . (21/06968-3)
BORGO, LUCELIA; RABELO, FLAVIO HENRIQUE SILVEIRA; MARCHIORI, PAULO EDUARDO RIBEIRO; GUILHERME, LUIZ ROBERTO GUIMARAES; GUERRA-GUIMARAES, LEONOR; DE RESENDE, MARIO LUCIO VILELA. Impact of Drought, Heat, Excess Light, and Salinity on Coffee Production: Strategies for Mitigating Stress Through Plant Breeding and Nutrition. AGRICULTURE-BASEL, v. 15, n. 1, p. 23-pg., . (21/06968-3)
BENEDET, LUCAS; GODINHO SILVA, SERGIO HENRIQUE; MANCINI, MARCELO; ANDRADE, RENATA; CANUTO AMARAL, FRANCISCO HELCIO; LIMA, GERALDO JANIO; CARBONE CARNEIRO, MARCO AURELIO; CURI, NILTON. Clean quality control of agricultural and non-agricultural lime by rapid and accurate assessment of calcium and magnesium contents via proximal sensors. Environmental Research, v. 221, p. 13-pg., . (21/06968-3)
DA SILVA, LEONARDO FILIPE; PARREIRA JUNIOR, PAULO AFONSO; FREIRE, ANDRE PIMENTA. Mobile User Interaction Design Patterns: A Systematic Mapping Study. INFORMATION, v. 13, n. 5, p. 27-pg., . (21/06968-3)
FERREIRA, LUDMILLA JANNE CARVALHO; CASE, ISADORA NUNES; BERTARINI, PEDRO LUIZ LIMA; OLIVEIRA, LILIANE MACIEL DE; SANTOS, LIBIA DINIZ. Impact of immature coffee fruits and water addition during spontaneous fermentation process: Chemical composition and sensory profile q. ELECTRONIC JOURNAL OF BIOTECHNOLOGY, v. 69, p. 9-pg., . (21/06968-3)
SANTOS, NAYZA FERREIRA; GUIMARAES GUILHERME, LUIZ ROBERTO; CARBONE CARNEIRO, MARCO AURELIO; BUENO GUERRA, MARCELO BRAGA. A simple and reliable calibration method for direct analysis of ground-roasted coffee by portable XRF: an accurate analytical tool for total diet studies. Journal of Analytical Atomic Spectrometry, v. 39, n. 4, p. 8-pg., . (21/06968-3)
DA COSTA, MARCELA VIEIRA; COSTA, ENIO TARSO DE SOUZA; DE OLIVEIRA, JOAO PAULO DIANIN; LIMA, GERALD JANIO DE OLIVEIRA; GUILHERME, LUIZ ROBERTO GUIMARAES; CARVALHO, GEILA SANTOS; DUARTE, MARIENE HELENA; CHIVALE, JERNIMO JUVENCIO; WEINDORF, DAVID C.; CHAKRABORTY, SOMSUBHRA; et al. Assessment of coffee leaves nutritive value via portable X-ray fluorescence spectrometry and machine learning algorithms. SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY, v. 219, p. 11-pg., . (21/06968-3)
FERREIRA, LUDMILLA JANNE CARVALHO; BERTARINI, PEDRO LUIZ LIMA; DO AMARAL, LAURENCE RODRIGUES; GOMES, MATHEUS DE SOUZA; DE OLIVEIRA, LILIANE MACIEL; SANTOS, LIBIA DINIZ. Coinoculation of Saccharomyces cerevisiae and Bacillus amyloliquefaciens in solid-state and submerged coffee fermentation: Influences on chemical and sensory compositions. LWT-FOOD SCIENCE AND TECHNOLOGY, v. 202, p. 11-pg., . (21/06968-3)
PIRES, FABIANA DE CARVALHO; MUTZ, YHAN DA SILVA; DE CARVALHO, THAIS CRISTINA LIMA; LORENZO, NATASHA DANTAS; PEREIRA, ROSEMARY GUALBERTO FONSECA ALVARENGA; DA ROCHA, RONEY ALVES; NUNES, CLEITON ANTONIO. Feasibility of using colorimetric devices for whole and ground coffee roasting degrees prediction. Journal of the Science of Food and Agriculture, v. 104, n. 9, p. 7-pg., . (23/00474-4, 21/06968-3)
AZEVEDO, LILLIAN MAGALHAES; DE OLIVEIRA, RAPHAEL RICON; CHALFUN-JUNIOR, ANTONIO. The Role of FT/TFL1 Clades and Their Hormonal Interactions to Modulate Plant Architecture and Flowering Time in Perennial Crops. PLANTS-BASEL, v. 14, n. 6, p. 11-pg., . (21/06968-3)
ERON, FRANCISCO; NOMAN, MUHAMMAD; DE OLIVEIRA, RAPHAEL RICON; CHALFUN-JUNIOR, ANTONIO. Computer Vision-Aided Intelligent Monitoring of Coffee: Towards Sustainable Coffee Production. Scientia Horticulturae, v. 327, p. 13-pg., . (21/06968-3)
DE OLIVEIRA, KELLEN KAUANNE PIMENTA; DE OLIVEIRA, RAPHAEL RICON; RUME, GABRIEL DE CAMPOS; RIBEIRO, THALES HENRIQUE CHERUBINO; FERNANDES-BRUM, CHRISTIANE NORONHA; DO AMARAL, LAURENCE RODRIGUES; KAKRANA, ATUL; MATHIONI, SANDRA; MEYERS, BLAKE C.; GOMES, MATHEUS DE SOUZA; et al. Microsporogenesis and the biosynthesis of floral small interfering RNAs in coffee have a unique pattern among eudicots, suggesting a sensitivity to climate changes. PLANT DIRECT, v. 8, n. 1, p. 14-pg., . (21/06968-3)
MUTZ, YHAN S.; MAROUM, SAMARA MAFRA; TESSARO, LETICIA L. G.; SOUZA, NATALIA DE OLIVEIRA; DE BEM, MIKAELA MARTINS; ALVES, LOYANE SILVESTRE; FIGUEIREDO, LUISA PEREIRA; DO ROSARIO, DENES K. A.; BERNARDES, PATRICIA C.; NUNES, CLEITON ANTONIO. Effectiveness of an E-Nose Based on Metal Oxide Semiconductor Sensors for Coffee Quality Assessment. CHEMOSENSORS, v. 13, n. 1, p. 16-pg., . (23/00474-4, 21/06968-3)
FIGUEIREDO, VERONICA MARTINS; BOCOLI, FERNANDA ALMEIDA; DE PADUA, EDUANE JOSE; REIS, RENATA ANDRADE; MANCINI, MARCELO; TEIXEIRA, ANITA FERNANDA DOS SANTOS; CARNEIRO, MARCO AURELIO CARBONE; CURI, NILTON; SILVA, SERGIO HENRIQUE GODINHO. Over Time Efficiency of Predictive Models Based on Proximal Sensing to Assess the Dynamics of Soil Fertility Attributes. JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION, v. N/A, p. 15-pg., . (21/06968-3)
MARQUES, DIEGO DE SOUZA; MEMENTO, GABRIELA SILVA; SALGADO, ANDRE DE LIMA; FREIRE, ANDRE PIMENTA. Quality Coffee Information Needs and Implications for Information Systems: a Study with Coffee Consumers. PROCEEDINGS OF THE 20TH BRAZILIAN SYMPOSIUM ON INFORMATIONS SYSTEMS, SBSI 2024, v. N/A, p. 10-pg., . (22/11214-0, 21/06968-3)