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1. Internet of Things Application in an Automated Irrigation Prototype Powered by Photovoltaic Energy

Author

Rafael C. Borges, Carlos H. Beuter, Vitória C. Dourado, and Murilo E. C. Bento

Subjects
adafruit IO, automation, IoT, irrigation, Technology
Abstract

Small-scale agriculture is important. However, there are still limitations regarding the implementation of technologies in small-scale agriculture due to the high costs accompanying them. Therefore, it is essential to seek viable and low-cost solutions since the insertion of technologies in agriculture, especially irrigated agriculture, guarantees the sustainable expansion of production capacity. The present work applied the Internet of Things concept to an automated irrigation system powered by photovoltaic panels. The materials used in the prototype consisted of Arduino Uno R3, the ESP8266 development board, a soil moisture sensor, a current sensor, a voltage sensor, a flow sensor, and a humidity and temperature sensor. The prototype was designed to take system readings and send them to the Adafruit platform IO. Furthermore, it was programmed to perform remote irrigation control, enabling this to be activated from distant points through the platform. The medium proved efficient for the monitoring and remote control of the system. This indicates that it is possible to use this medium in small automated irrigation systems.

Published
2024
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2. Data standardization of plant–pollinator interactions

Author

José A Salim, Antonio M Saraiva, Paula F Zermoglio, Kayna Agostini, Marina Wolowski, Debora P Drucker, Filipi M Soares, Pedro J Bergamo, Isabela G Varassin, Leandro Freitas, Márcia M Maués, Andre R Rech, Allan K Veiga, Andre L Acosta, Andréa C Araujo, Anselmo Nogueira, Betina Blochtein, Breno M Freitas, Bruno C Albertini, Camila Maia-Silva, Carlos E P Nunes, Carmen S S Pires, Charles F dos Santos, Elisa P Queiroz, Etienne A Cartolano, Favízia F de Oliveira, Felipe W Amorim, Francisco E Fontúrbel, Gleycon V da Silva, Hélder Consolaro, Isabel Alves-dos-Santos, Isabel C Machado, Juliana S Silva, Kátia P Aleixo, Luísa G Carvalheiro, Márcia A Rocca, Mardiore Pinheiro, Michael Hrncir, Nathália S Streher, Patricia A Ferreira, Patricia M C de Albuquerque, Pietro K Maruyama, Rafael C Borges, Tereza C Giannini, Vinícius L G Brito, Repositório da Universidade de Lisboa, JOSÉ A. SALIM, USP, ANSELMO NOGUEIRA, UFABC, BETINA BLOCHTEIN, PUCRS, BRENO M. FREITAS, UFC, BRUNO C. ALBERTINI, USP, CAMILA MAIA-SILVA, UNIVERSIDADE FEDERAL RURAL DO SEMI-ÁRIDO, CARLOS E. P. NUNES, UNIVERSITY OF STIRLING, CARMEN SILVIA SOARES PIRES, Cenargen, CHARLES F. DOS SANTOS, PUCRS, ELISA P. QUEIROZ, USP, ETIENNE A. CARTOLANO, USP, FAVÍZIA F. DE OLIVEIRA, UFBA, FELIPE W. AMORIM, UNESP, FRANCISCO E. FONTÚRBEL, PONTIFICIA UNIVERSIDAD CATÓLICA DE VALPARAÍSO, CHILE, GLEYCON V. DA SILVA, INPA, HÉLDER CONSOLARO, UNIVERSIDADE FEDERAL DE CATALÃO, ISABEL ALVES-DOS-SANTOS, USP, ISABEL C. MACHADO, UFPE, JULIANA S. SILVA, INSTITUTO FEDERAL DE EDUCAÇÃO CIÊNCIA E TECNOLOGIA DE MATO GROSSO, KÁTIA P. ALEIXO, ASSOCIAÇÃO BRASILEIRA DE ESTUDOS DAS ABELHAS, LUÍSA G. CARVALHEIRO, UFG, UNIVERSITY OF LISBOA, MÁRCIA A. ROCCA, UFS, MARDIORE PINHEIRO, UNIVERSIDADE FEDERAL DA FRONTEIRA SUL, MICHAEL HRNCIR, USP, NATHÁLIA S. STREHER, UNIVERSITY OF PITTSBURGH, PATRICIA A. FERREIRA, UFSCAR, PATRICIA M. C. DE ALBUQUERQUE, UFMA, PIETRO K. MARUYAMA, UFMG, RAFAEL C. BORGES, INSTITUTO TECNOLÓGICO VALE, BELÉM, TEREZA C. GIANNINI, INSTITUTO TECNOLÓGICO VALE, BELÉM, VINÍCIUS L. G. BRITO, UFU., ANTONIO M. SARAIVA, USP, PAULA F. ZERMOGLIO, UNIVERSIDAD DE BUENOS AIRES, KAYNA AGOSTINI, UFSCAR, MARINA WOLOWSKI, UNIFAL, DEBORA PIGNATARI DRUCKER, CNPTIA, FILIPI M. SOARES, USP, PEDRO J. BERGAMO, JARDIM BOTÂNICO DO RIO DE JANEIRO, ISABELA G. VARASSIN, UFPR, LEANDRO FREITAS, JARDIM BOTÂNICO DO RIO DE JANEIRO, MARCIA MOTTA MAUES, CPATU, ANDRÉ R. RECH, UNIVERSIDADE FEDERAL DOS VALES DO JEQUITINHONHA E MUCURI, DIAMANTINA, ALLAN K. VEIGA, USP, ANDRE L. ACOSTA, INSTITUTO TECNOLÓGICO VALE, BELÉM, and ANDRÉA C. ARAUJO, UFMS

Subjects
Pollinator, Informação sobre biodiversidade, Vocabulary of terms, Informática para biodiversidade, Biodiversidade, Padronização de dados, POLINIZAÇÃO, Health Informatics, Biodiversity, Reference Standards, Biodiversity informatics, Computer Science Applications, Animals, Darwin Core, Pollination, Interação planta-polinizador, Termos de vocabulário, Ecosystem, Phylogeny, Polinizador, Biodiversity information
Abstract

Background Animal pollination is an important ecosystem function and service, ensuring both the integrity of natural systems and human well-being. Although many knowledge shortfalls remain, some high-quality data sets on biological interactions are now available. The development and adoption of standards for biodiversity data and metadata has promoted great advances in biological data sharing and aggregation, supporting large-scale studies and science-based public policies. However, these standards are currently not suitable to fully support interaction data sharing. Results Here we present a vocabulary of terms and a data model for sharing plant–pollinator interactions data based on the Darwin Core standard. The vocabulary introduces 48 new terms targeting several aspects of plant–pollinator interactions and can be used to capture information from different approaches and scales. Additionally, we provide solutions for data serialization using RDF, XML, and DwC-Archives and recommendations of existing controlled vocabularies for some of the terms. Our contribution supports open access to standardized data on plant–pollinator interactions. Conclusions The adoption of the vocabulary would facilitate data sharing to support studies ranging from the spatial and temporal distribution of interactions to the taxonomic, phenological, functional, and phylogenetic aspects of plant–pollinator interactions. We expect to fill data and knowledge gaps, thus further enabling scientific research on the ecology and evolution of plant–pollinator communities, biodiversity conservation, ecosystem services, and the development of public policies. The proposed data model is flexible and can be adapted for sharing other types of interactions data by developing discipline-specific vocabularies of terms.

Published
2022

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