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The objective of this study was to develop an electronic controller for microclimate control in greenhouses, as well as to verify if the automated control system affects the productivity of two varieties of lettuce “Lactuca sativa”. The control system was developed based on the Atmega 2560 and compatible transducers. An experimental field analysis was carried out over a production cycle for two lettuce varieties. The experimental results showed that the designed equipment worked according to the implemented programming algorithm. However, the ventilation, nebulization and shading actuators did not control environmental variables, due to under sizing. The irrigation process was correctly controlled throughout the experimental period. The electronic controller promoted increase in the productivity of lettuce varieties. There was increase of 28% in total fresh weight; 10% in stem diameter; 7 and 8% in height gain and average diameter, respectively.

Author Biographies

Aldir Carpes Marques Filho, Universidade Estadual Paulista Júlio de Mesquita Filho, Campus Botucatu, Botucatu.

Eng. Agr. Mestre em Mecatrônica - Depto. Eng. Rural - UNESP

Jean Paulo Rodrigues, Instituto Federal de Santa Catarina, Campus Florianópolis, Florianópolis.

Prof. Dr. Eng. Eletricista - Mecatrônica e Eletrônica de potência - IFSC

Simone Daniela Sartorio de Medeiros, Universidade Federal de Santa Catarina, Campus Florianópolis, Florianópolis.

Prof. Dr. em Estatística e Experimentação Agronômica - UFSC

Sergio Ricardo Rodrigues de Medeiros, Universidade Federal de Santa Catarina, Campus Florianópolis, Florianópolis.

Prof. Dr. Eng. Agr. - Dpeto Engenharia Rural - UFSC


(I) Abdel-Ghany, A.M., 2011. Solar energy conversions in the greenhouses. Sustaintable systems and society, 1(4), 219-226.

(II) Aosong, 2015. AM2302 Digital output relative humidity and temperature sensor. (accessed July 17, 2020).

(III) Arduino, 2018. What is Arduino? (accessed August 20, 2018).

(IV) Bajer, L., Krejcar, O., 2015. Design and realization of low cost control for greenhouse environment with remote control. Czech Republic, Internacional Federation of automatic control, 48(4), 368-373.

(V) Cermeño, Z.S., 1990. Estufas instalação e manejo, second ed. Lisboa, Litexa.

(VI) Fuentes, M., Vivar, M., Burgos, J.M., Aguilera, J., Vacas, J.A., 2014. Design of an accurate, low-cost autonomous data logger for PV system monitoring using Arduino™ that complies with IEC standards. Solar Energy Materials e Solar Cells, 130, 529-543.

(VII) Gonçalves, E.D.V., Dartora, J., Mendonça, H.F., Rissato, B.B., Dildey, O.D.F., Roncato, S., Santana, J.C., Klosowski, E.S., Echer, M.M., Tsutsumi, C.Y., 2017. Crescimento e produtividade de cultivares de alface em ambiente protegido com e sem tela termorrefletora. Scientia Agraria Paranaensis, 16(2), 193-199.

(VIII) González-Esquiva, J.M., Oates, M.J., García-Mateos, G., Moros-Valle, B., Molina-Martínez, J.M., Ruiz-Cannales, A., 2017. Development of a visual monitoring system for water balance estimation of horticultural crops using low cost cameras. Computers and Eletronics in Agriculture, 141, 15-26.

(IX) Hassanien, R.H.E., Ming, L., 2017. Influences of greenhouse-integrated semi-transparent photovoltaics on microclimate and lettuce growth. International Journal of Agricultural and Biological Engineering, 10(6), 11-22.

(X) Ishikava, S.M., Figueiredo, G., 2011. Olerícolas para cultivo em ambiente protegido. Revista Casa da Agricultura, 14(2), 24-26.

(XI) Marenco, R.A., Lopes, N.F., 2013. Fisiologia Vegetal: fotossíntese, respiração, relações hídricas e nutrição mineral, terceira ed. UFV, Viçosa.

(XII) Mazon-Olivo, B., Hernández-Rojas, D., Maza-Salinas, J., Pan, A., 2018. Rules engine and complex event processor in the context of internet of things for precision agriculture. Computers and Electronics in Agriculture, 154, 347-360.

(XIII) Mekki, M., Abdallah, O., Amin, M.B.M., Eltayeb, M., Tafaoul, A., Babiker, A., 2015. Greenhouse monitoring and control system based on wireless sensor network. International Eletronics and Embedded Systems Engineering. IEEE, Sudan, 384-387.

(XIV) Nugroho, A.P., Okayasu, T., Hoshi, T., Inoue, E., Hirai, Y., Mitsuoka, M., Sutiarso, L., 2016. Development of a remote environmental monitoring and control framework for tropical horticulture and verification of its validity under unstable network connection in rural área. Computer and eletronics in agriculture, 124, 335-339.

(XV) Oliveira Junior, A.J., Souza, S.R.L., Cruz, V.F., Vicentin, T.A., Glavina, A.S.G., 2018. Development of an android APP to calculate thermal comfort indexes on animals and people. Computers and Electronics in Agriculture, 151, 175-184.

(XVI) R Core Team, 2018. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.

(XVII) Rozenfeld, H., Forcellini, F.A., Amaral, D.C., Toledo, J.C., Silva, S.L., Alliprandini, D.H., Scalice, R.K., 2015. Gestão de desenvolvimento de Produtos: uma referência para melhoria do processo, primeira ed. São Paulo, Saraiva.

(XVIII) Santos, H.G., Jacomine, P.K.T., Anjos, L.H.C., Oliveira, V.A., Lumbreras, J.F., Coelho, M.R., Almeida, J.A., Cunha, T.J.F., Oliveira, J.B., 2013. Sistema brasileiro de classificação de solos, terceira ed. Brasília, Embrapa.

(XIX) Santos, U.J.L., Pessin, G., Costa, C.A., Rigui, R.R., 2018. AgriPrediction: Aproactive internet of things model to anticipate problems and improve production in agricultural crops. Computer and Eletronics in Agriculture, 161, 202-213.

(XX) Vatari, S., Bakshi, A., Thakur, T., 2016. Green house by using IOT and cloud computing. Internacional Conference on Recent Trends in Electronics, Information and Communication Technology. IEEE, India, 246-250.

(XXI) Wishkerman, A., Wishkerman, E., 2017. Application note: A movel low cost open-source LED system for microalgae cultivation. Computers and Electronics in Agriculture, 132, 56-62.

(XXII) Yuri, J.E., Mota, J.H., Resende, G.M., Souza, R.J., 2016. Nutrição e adubação da cultura da alface, in: Prado, R.M., Cecílio Filho, A.B. (Ed.). Nutrição e adubação de hortaliças. Jaboticabal, FCAV, p. 559-577.

(XXIII) Zhou, J., Chen, H., Zhou, J., Fu, X., Ye, H., Nguyen, H.T., 2018. Development of an automated phenotyping platform for quantifying soybean dynamic responses to salinity stress in greenhouse environment. Computers and Electronics in Agriculture, 151, 319-330.




How to Cite

Marques Filho, A. C., Rodrigues, J. P., Sartorio de Medeiros, S. D., & Rodrigues de Medeiros, S. R. (2020). DEVELOPMENT OF AN ELECTRONIC CONTROLLER FOR LETTUCE PRODUCTION IN GREENHOUSES. REVISTA DE AGRICULTURA NEOTROPICAL, 7(3), 65–72.