Center of Science for Development in Digital Agriculture - CCD-AD/SemeAr

• Grant number: 22/09319-9
• Support Opportunities: Research Grants - Science Centers for Development
• Start date: November 01, 2022
• End date: October 31, 2027
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Agreement: MCTI/MC
• Principal Investigator: Silvia Maria Fonseca Silveira Massruhá
• Grantee: Silvia Maria Fonseca Silveira Massruhá
• Host Institution: Embrapa Agricultura Digital. Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Ministério da Agricultura, Pecuária e Abastecimento (Brasil). Campinas , SP, Brazil
• Pesquisadores principais: Alberto Paradisi ; Arismar Cerqueira Sodré Junior ; Cláudio Antonio Pinheiro Machado Filho ; Durval Dourado Neto ; Édson Luis Bolfe ; Isabella Clerici De Maria ; Jayme Garcia Arnal Barbedo ; José Paulo Molin ; José Roberto Soares Scolforo ; Luciano Leonel Mendes ; Paulo Henrique Montagnana Vicente Leme ; Thiago Teixeira Santos
• Associated researchers: Alexandre de Castro ; Antonio Jose Homsi Goulart ; Ariovaldo Luchiari Junior ; Bernardo Moreira Cândido ; Carlos Alberto Alves Meira ; Carlos Eduardo Fredo ; Celia Regina Grego ; Celso Luis Rodrigues Vegro ; Dayan Adionel Guimarães ; Debora Pignatari Drucker ; Edson Eyji Sano ; Eduardo Antonio Speranza ; Elisa Reis Guimarães ; Fabbryccio Akkazzha Chaves Machado Cardoso ; Fabricio Lira Figueiredo ; Geraldo Bueno Martha Junior ; Glauber José de Castro Gava ; Gustavo Bayma Siqueira da Silva ; GUSTAVO CORREA LIMA ; Inácio Henrique Yano ; Isabella Clerici De Maria ; Isaque Vacari ; Ivan Bergier Tavares de Lima ; Janaina Mitsue Kimpara ; Jane Maria de Carvalho Silveira ; Jaqueline Severino da Costa ; Jener Fernando Leite de Moraes ; José Marcos Câmara Brito ; José Reynaldo Formigoni Filho ; Katia de Lima Nechet ; Katia Nachiluk ; Luciano Gebler ; Luciano Vieira Koenigkan ; Maria Angelica de Andrade Leite ; Martha Delphino Bambini ; Michell Olívio Xavier da Costa ; Norberto Alves Ferreira ; Otávio Camargo Campoe ; Patricia Menezes Santos ; Paulo Henrique Montagnana Vicente Leme ; Priscilla Rocha Silva Fagundes ; Regina Celia de Matos Pires ; Ricardo Yassushi Inamasu ; Silvio Roberto Medeiros Evangelista ; Stanley Robson de Medeiros Oliveira ; Thais Aparecida Dibbern
• Associated scholarship(s): 25/13789-9 - Development of methodology and Impact Assessment (IA) of connectivity in Agro-Technological Districts (DATs), BP.DR; 25/11547-8 - Extracting, loading, transforming and making available data on agricultural products and topics contained in web pages (Ater+ Digital) to feed machine learning models., BP.TT; 25/13920-8 - Support for the activities of the focal points in the Agrotechnological District (DAT) of Boa Vista do Tupim (BA), BP.TT; + associated scholarships 25/14376-0 - Support for the Education and Knowledge Dissemination Plan of the Center for Science for Development in Digital Agriculture - CCD-AD/SemeAr Digital: focus on dissemination activities, BP.IC; 25/14392-5 - Support for the Education and Knowledge Dissemination Plan of the Science Center for Development in Digital Agriculture - CCD-AD/SemeAr Digital: focus on educational activities, BP.IC; 25/10368-2 - Innovative Certification Models Based on Digital Agriculture for Small and Medium Farmers: A Path Toward Sustainability and Market Inclusion, BP.DR; 25/09601-4 - Technical support for promotional actions and relations with the project's stakeholders, BP.TT; 25/07898-0 - Analysis and optimization of a digital platform based on APIs for processing large volumes of complex data, BP.PD; 25/09599-0 - Support for the activities of the focal points in the Agrotechnological District (DAT) of Breves (PA), BP.TT; 25/10367-6 - Socioeconomic impacts of adopting technology in rural areas by small and medium producers, BP.DR; 25/05985-2 - Analysis of stresses in agricultural crops using deep learning and remote and proximal sensing imagery, BP.PD; 25/06048-2 - Development of a decentralized transactional model for emerging digital markets with crypto-assets in agriculture., BP.PD; 25/07249-1 - Support for the activities of the focal points in the Agrotechnological District (DAT) of Breves (PA), BP.TT; 25/01962-8 - Approaches to enable Precision Agriculture in small areas, BP.PD; 25/09642-2 - Support for the activities of the focal points in the Agrotechnological District (DAT) of Jacupiranga (SP), BP.TT; 25/05910-2 - Support for the activities of the focal points in the Agrotechnological District (DAT) of Vacaria (RS), BP.TT; 25/05753-4 - Studies on NTN networks for Agriculture 4.0 applications, BP.TT; 24/10267-9 - Semantic localization and mapping by proximal multimodal sensing for agricultural automation, BP.PD; 25/03890-4 - Identification of hotspots of traditional agricultural systems using multisensor data and participatory mapping, BP.DR; 25/01992-4 - Indicators for high spatial and temporal resolution monitoring of banana and pupunha production, BP.PD; 24/18399-1 - Development of a decentralized transactional model for emerging digital markets with crypto assets in agriculture, BP.PD; 25/01750-0 - Detecting Diversified Agricultural Systems with High-Resolution Imaging and Deep Learning, BP.MS; 25/00757-1 - Design and construction of prototypes for electronic trap, BP.IC; 24/21813-4 - Technical administrative support for innovation and partnerships, BP.TT; 24/19729-5 - Panoptic segmentation applied to agriculture, BP.PD; 24/20662-2 - Characterization and topological simulation of production networks aiming at impact indicators of digital transformation, BP.PD; 24/16492-4 - Knowledge Organization and content generation on territorial diagnoses for the Education and Knowledge Dissemination Plan of the Science Center for Development in Digital Agriculture - CCD-AD/ Semear Digital, BP.TT; 24/14107-6 - 5G Access Network Solution for Rural Areas, BP.TT; 24/10569-5 - Global scenario of technological development for digital agriculture, BP.PD; 24/12887-4 - Organization and management of the Education and Knowledge Dissemination Plan of the Science Center for Development in Digital Agriculture - CCD-AD/Semear Digital, BP.PD; 24/13150-5 - Spatiotemporal analysis of agricultural dynamics in a region of high production diversity using multisensor imagery and machine learning, BP.DR; 24/10180-0 - Smart irrigation: monitoring irrigation using plant, soil and climate sensors, BP.MS; 24/08132-8 - Water yield and sediment flows as a function of land use change scenarios, BP.PD; 24/05205-4 - Development of land use mapping methods based on multi-sensor data and machine learning algorithms, BP.PD; 24/02768-8 - Agroenvironmental sustainability indices based on geotechnologies applied to small and medium sized rural properties, BP.DR; 23/15030-4 - Algorithms for mobile networks in rural areas, BP.PD; 23/18452-7 - Socioeconomic impacts of the adoption of technologies by small and medium-sized producers, BP.PD; 23/18453-3 - Socioeconomic impacts of the adoption of technologies by small and medium-sized producers, BP.PD; 23/11113-2 - Territorial diagnoses for CPAD's Education and Knowledge Dissemination Plan, BP.MS; 23/08686-0 - Proposal of a methodology for the generation of innovation indicators in digital agriculture, BP.PD; 23/10672-8 - Organization of Knowledge and generation of content on territorial diagnoses for CPAD's Education and Knowledge Dissemination Plan, BP.MS; 23/03870-8 - Cattle monitoring using drone images., BP.PD; 23/06905-7 - Management of Geospatial Data with an Interface for the Application of Artificial Intelligence, BP.PD; 23/07707-4 - Organization of knowledge and generation of content on territorial diagnoses for the Plan of Education and Dissemination of Knowledge of the Center for Applied Research in Digital Agriculture (CPAD), BP.PD; 23/04008-8 - Analysis of digital classifications of land use by multisensors and organization of geospatial databases, BP.PD - associated scholarships

Abstract

Projections of world population show that there will be a greater demand for food, fiber and energy, requiring an increase in agricultural productivity, cost reduction and sustainable use of natural resources. In addition, factors such as changes in final consumer market habits, increased incidence of extreme weather events, the longevity of the urban population and the labor shortages in rural areas are challenges that have not yet been overcome. Thus, it is essential to consider the process of digital transformation in the countryside, with the introduction of equipment and sensors to collect and generate data in amounts that easily surpass the human processing capacity. The diversity of data that can be used in all links of the production chain, including pre-production, production (on-farm) and post-production, and the different scales to be considered, are relevant research challenges for Computer Science, which can contribute with innovative solutions through the adoption of techniques, methods and computational algorithms to manipulate and understand the interrelationship of these data in a more adequate, fast and efficient way, aiding farmers in the decision making process. However, in order to guarantee and expand Brazil's prominent position in the sustainable food, fiber and bioenergy markets, meeting the growing national and international demands for food, nutritional, socio-environmental and climate security, it is essential to overcome inequalities through efforts in research, development, innovation (RD&I), as well as through better technology dissemination among small and medium-sized producers. Some of these critical technologies for the digital transformation of agriculture are: edge/cloud computing, internet of things (IoT), media and social networks, big data, data science, artificial intelligence, augmented reality, robotics, ubiquitous connectivity, machine learning, digital twins, automation, biotechnology and bioinformatics, nanotechnology. From this perspective, RD&I associated with the use of digital technologies, targeting small and medium-sized producers, is justified by bringing opportunities to Brazilian agriculture in order to:* Insert producers into the ongoing digital transformation process, considering the regional diversity of production and natural resources;* Promote connectivity of electronic devices in the field, aiming to reduce implementation costs of digital technological assets;* Connect multiple actors in production chains to reduce transaction costs;*Integrate digital technologies into rural production processes in an effective and simple way, aiming to generate socio-economic impacts in the short and medium term;* Promote technological training and the sharing of knowledge and practices,to accelerate the adoption of digital technological assets by the markets;*Enable new business models and operations in the digital transformation process to attract investments for scalability;* Induce and strengthen models of sustainable intensification through integrated production systems, aiming at gains in agricultural efficiency and productivity.The project entitled "Science Center for Development in Digital Agriculture (CCD-AD/SemeAr)" is an integral part of a set of complementary actions in the "SemeAr" initiative. The SemeAr initiative aims to increase production and productivity in agribusiness in a more sustainable way on a national scale through the use of digital technologies and connectivity. (AU)

Scientific publications

(31)

(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)

PAIVA, CAROLINE MENDONCA NOGUEIRA; QUINTINO, DERICK DAVID; DE MORAIS, THACYO BRUNO CUSTODIO; COZADI, ELISA GUIMARAES; DA COSTA, JAQUELINE SEVERINO; LEME, PAULO HENRIQUE MONTAGNANA VICENTE; SCOLFORO, JOSE ROBERTO SOARES. Pathways to Rural Sustainability: Opportunities and Challenges in the Creation of an Agrotechnological District in Ingaí City, Brazil. AGRICULTURE-BASEL, v. 14, n. 12, p. 21-pg., 2024-12-01. (23/18452-7, 22/09319-9, 23/18453-3)

NETO, EGIDIO RAIMUNDO; SILVA, MATHEUS FERREIRA; SODRE JR, ARISMAR CERQUEIRA. Pedestrian Sensing and Positioning System Using 2D-LiDAR Based on Artificial Neural Networks Toward 6G. IEEE ACCESS, v. 12, p. 21-pg., 2024-01-01. (22/09319-9, 21/06569-1)

SOUZA, L. C.; PINTO, F. B. F.; SILVA, L. G.; PORTELINHA, F. M., JR.; ANDERSON, E. L.; CERQUEIRA S, ARISMAR, JR.. A Radio- and Power-over-Fiber System using Double-clad Fiber Towards B5G Networks. 2024 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, SBFOTON IOPC 2024, v. N/A, p. 3-pg., 2024-01-01. (22/09319-9, 21/06569-1)

GUIMARAES, DAYAN ADIONEL. Spectrum Hole Geolocation for Database-Driven IoT-Enabled Dynamic Spectrum Access. IEEE ACCESS, v. 13, p. 17-pg., 2025-01-01. (22/09319-9)

LOPES, CELSO HENRIQUE DE SOUZA; ANDRADE, TOMAS POWELL VILLENA; PEREIRA, LUIZ AUGUSTO MELO; CONFORTI, EVANDRO; SODRE JUNIOR, ARISMAR CERQUEIRA. Implementation of HetNet architectures based on FSO, VLC, RoF, and photonics-based RF generation toward 6G applications. JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, v. 16, n. 10, p. 12-pg., 2024-10-01. (22/09319-9, 21/06569-1)

BARBEDO, JAYME GARCIA ARNAL. Deep Learning for Soybean Monitoring and Management. SEEDS, v. 2, n. 3, p. 17-pg., 2023-08-15. (22/09319-9)

PARREIRAS, TAYA CRISTO; BOLFE, EDSON LUIS; PEREIRA, PAULO ROBERTO MENDES; DE SOUZA, ABNER MATHEUS; ALVES, VINICIUS FERNANDES. Applications, challenges and perspectives for monitoring agricultural dynamics in the Brazilian savanna with multispectral remote sensing. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, v. 37, p. 18-pg., 2025-01-21. (24/13150-5, 22/09319-9)

ANDRADE, TOMAS POWELL VILLENA; LOPES, CELSO HENRIQUE DE SOUZA; DE SOUZA, LETICIA CARNEIRO; SODRE JUNIOR, ARISMAR CERQUEIRA. Demonstration of a Hybrid B5G System Integrating VLC and RF-Based Technologies with Access Networks. APPLIED SCIENCES-BASEL, v. 15, n. 2, p. 13-pg., 2025-01-01. (21/06569-1, 22/09319-9)

BERGIER, IVAN; BARBEDO, JAYME G. A.; BOLFE, EDSON L.; ROMANI, LUCIANA A. S.; INAMASU, RICARDO Y.; MASSRUHA, SILVIA M. F. S.. Framing Concepts of Agriculture 5.0 via Bipartite Analysis. SUSTAINABILITY, v. 16, n. 24, p. 22-pg., 2024-12-01. (22/09319-9)

GARCIA FURUYA, DANIELLE ELIS; BOLFE, EDSON LUIS; PARREIRAS, TAYA CRISTO; ARNAL BARBEDO, JAYME GARCIA; SANTOS, THIAGO TEIXEIRA; GEBLER, LUCIANO. Combination of Remote Sensing and Artificial Intelligence in Fruit Growing: Progress, Challenges, and Potential Applications. REMOTE SENSING, v. 16, n. 24, p. 29-pg., 2024-12-01. (24/05205-4, 24/13150-5, 22/09319-9)

TETILA, EVERTON CASTELAO; MORO, BARBARA LOPES; ASTOLFI, GILBERTO; COSTA, ANDERSON BESSA DA; AMORIM, WILLIAN PARAGUASSU; BELETE, NICOLAS ALESSANDRO DE SOUZA; PISTORI, HEMERSON; BARBEDO, JAYME GARCIA ARNAL. Real-time detection of weeds by species in soybean using UAV images. CROP PROTECTION, v. 184, p. 9-pg., 2024-07-22. (23/03870-8, 22/09319-9)

NETO, EGIDIO RAIMUNDO; SILVA, MATHEUS FERREIRA; ANDRADE, TOMAS P. V.; SODRE JUNIOR, ARISMAR CERQUEIRA. ANN-Based LiDAR Positioning System for B5G. MICROMACHINES, v. 15, n. 5, p. 16-pg., 2024-05-01. (22/09319-9, 21/06569-1)

LOPES, CELSO HENRIQUE DE SOUZA; ANDRADE, TOMAS POWELL VILLENA; PEREIRA, LUIZ AUGUSTO MELO; BOGONI, ANTONELLA; CONFORTI, EVANDRO; SODRE, ARISMAR CERQUEIRA. Implementation of a Hybrid FiWi System Using FSO, VLC and mm-Waves Toward 6G Applications. IEEE PHOTONICS TECHNOLOGY LETTERS, v. 35, n. 24, p. 4-pg., 2023-12-15. (22/09319-9, 21/06569-1)

BRANDAO, T. H.; LIMA, E. S.; FILGUEIRAS, H. R. D.; CERQUEIRA, ARISMAR S., JR.. Implementation of a Novel Triband Antenna Array in a FR1/FR2 5G-NR System. 2024 18TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, v. N/A, p. 4-pg., 2024-01-01. (22/09319-9)

CUNHA, MATHEUS SEDA BORSATO; FERREIRA, JULIANO SILVEIRA; MARINS, ANDERSON REIS RUFINO; DE LIMA, RAFAEL ANDRE BALDO; ZORELLO, GILBERTO; MENDES, LUCIANO LEONEL. Impact of Regulation on TV White Space Implementation in Brazil: Laboratory and Field Analyses Using 5G-RANGE System. SENSORS, v. 25, n. 8, p. 34-pg., 2025-04-14. (22/09319-9)

PEREIRA, L. A. M.; MENDES, L. L.; COX, MITCHELL A.; CERQUEIRA JR, S. ARISMAR. Open dataset initiative for machine learning-based linearization in analog radio over fiber systems. Optics Communications, v. 590, p. 8-pg., 2025-10-01. (20/05127-2, 22/09319-9, 21/06569-1)

SOUZA, LETICIA C.; ANDRADE, TOMAS P. V.; PINTO, FELIPE B. F.; LIMA, EDUARDO S.; JUNIOR, FRANCISCO M. P.; ANDERSON, EVANDRO L.; SODRE JR, ARISMAR CERQUEIRA. Enabling Next-generation Gbps Full-duplex Communications Systems Applying Radio- and Power-over-Fiber Integration. Optics Communications, v. 557, p. 9-pg., 2024-01-23. (22/09319-9, 21/06569-1)

DE SOUZA, LETICIA CARNEIRO; SOUTO, VICTORIA DALA PEGORARA; SODRE JR, ARISMAR CERQUEIRA. Radio- and Power-Over-Fiber Integration for 6G Networks: Challenges and Future Prospects. IEEE ACCESS, v. 13, p. 21-pg., 2025-01-01. (21/06569-1, 22/09319-9)

NETO, EGIDIO RAIMUNDO; SILVA, MATHEUS FERREIRA; SODRE, ARISMAR CERQUEIRA. ANN-based LiDAR Positioning System for B5G. 2023 SBMO/IEEE MTT-S INTERNATIONAL MICROWAVE AND OPTOELECTRONICS CONFERENCE, IMOC, v. N/A, p. 3-pg., 2023-01-01. (22/09319-9, 21/06569-1)

TETILA, EVERTON CASTELAO; DA SILVEIRA, FABIO AMARAL GODOY; COSTA, ANDERSON BESSA DA; AMORIM, WILLIAN PARAGUASSU; ASTOLFI, GILBERTO; PISTORI, HEMERSON; BARBEDO, JAYME GARCIA ARNAL. YOLO performance analysis for real-time detection of soybean pests. SMART AGRICULTURAL TECHNOLOGY, v. 7, p. 10-pg., 2024-02-05. (23/03870-8, 22/09319-9)

TETILA, EVERTON CASTELAO; WIRTI JUNIOR, GELSON; HIGA, GABRIEL TOSHIO HIROKAWA; DA COSTA, ANDERSON BESSA; AMORIM, WILLIAN PARAGUASSU; PISTORI, HEMERSON; BARBEDO, JAYME GARCIA ARNAL. Deep learning models for detection and recognition of weed species in corn crop. CROP PROTECTION, v. 195, p. 8-pg., 2025-04-24. (23/03870-8, 22/09319-9)

PINTO, F. B. F.; DE SOUZA, L. CARNEIRO; ANDRADE, T. P. V.; LIMA, E. S.; SILVA, L. G.; PORTELINHA JR, F. M.; ANDERSON, E. LEE; CERQUEIRA JR, S. ARISMAR. Power-over-fiber-based optical wireless communication systems towards 6G. JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING, v. 16, n. 8, p. 10-pg., 2024-08-01. (22/09319-9, 21/06569-1)

PAPA, MATHEUS; OLIVEIRA, STANLEY ROBSON DE MEDEIROS; BERGIER, IVAN. Technologies in cattle traceability: A bibliometric analysis. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 227, p. 11-pg., 2024-10-05. (22/09319-9)

DE SOUZA, KLEBER XAVIER SAMPAIO; BOLFE, EDSON LUIS; LEITE, MARIA ANGELICA DE ANDRADE; BAMBINI, MARTHA DELPHINO; VISOLI, MARCOS CEZAR; LUCHIARI JUNIOR, ARIOVALDO; DASLIVA, FELIPE RODRIGUES; DALLA MORA, JULIO CESAR; TEIXEIRA, JULIANA ERIKA DE CARVALHO. Quantum computing: current and potential applications in digital agriculture. Pesquisa Agropecuária Brasileira, v. 59, p. 14-pg., 2024-01-01. (22/09319-9)

SOUZA, LETICIA CARNEIRO DE; PINTO, FELIPE BATISTA FARO; ANDRADE, TOMAS POWELL VILLENA; JUNIOR, ARISMAR CERQUEIRA SODRE. Power and data simultaneous transmission using double-clad fibers towards 6G. SCIENTIFIC REPORTS, v. 15, n. 1, p. 12-pg., 2025-02-06. (21/06569-1, 22/09319-9)

MAHLEIN, ANNE-KATRIN; BARBEDO, JAYME G. ARNAL; CHIANG, KUO-SZU; DEL PONTE, EMERSON M.; BOCK, CLIVE H.. From Detection to Protection: The Role of Optical Sensors, Robots, and Artificial Intelligence in Modern Plant Disease Management. PHYTOPATHOLOGY, v. 114, n. 8, p. 9-pg., 2024-08-01. (22/09319-9)

BARBEDO, JAYME GARCIA ARNAL. A Review of Artificial Intelligence Techniques for Wheat Crop Monitoring and Management. AGRONOMY-BASEL, v. 15, n. 5, p. 50-pg., 2025-05-09. (24/01308-3, 22/09319-9)

DA SILVA, TAMIRES LIMA; ROMANI, LUCIANA ALVIM SANTOS; EVANGELISTA, SILVIO ROBERTO MEDEIROS; DATCU, MIHAI; MASSRUHA, SILVIA MARIA FONSECA SILVEIRA. Drought Monitoring in the Agrotechnological Districts of the Semear Digital Center. ATMOSPHERE, v. 16, n. 4, p. 22-pg., 2025-04-17. (24/10569-5, 22/09319-9)

DIBBERN, THAIS; ROMANI, LUCIANA ALVIM SANTOS; MASSRUHA, SILVIA MARIA FONSECA SILVEIRA. Main drivers and barriers to the adoption of Digital Agriculture technologies. SMART AGRICULTURAL TECHNOLOGY, v. 8, p. 10-pg., 2024-04-19. (22/09319-9, 23/08686-0)

PINTO, FELIPE B. F.; SOUZA, LETICIA C.; ANDRADE, TOMAS P., V; LIMA, EDUARDO S.; ANDERSON, EVANDRO L.; PORTELINHA JR, FRANCISCO M.; CERQUEIRA JR, S. ARISMAR. Optically powered FiWi system for B5G hybrid VLC/RF access networks. Optics Express, v. 32, n. 17, p. 13-pg., 2024-08-12. (22/09319-9, 21/06569-1)

DE C. DA SILVA, BIANCA S.; MELLO, MARIANA B. DDE; MENDES, LUCIANO L.. PAPR Reduction Technique for Mobile Communications System Based on Pattern Learning. 2024 19TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS, ISWCS 2024, v. N/A, p. 6-pg., 2024-01-01. (22/09319-9)