Abstract
The development of this document is focused on the analysis of two types of soil: greenhouse substrate and earthworm humus mixed with the greenhouse substrate, which have been used to measure important factors, such as temperature, humidity, light, water irrigation, in the germination of Solanum lycopersicum (tomato) seeds, then stored this information in a database, the period of time for evaluation is the fifteen days. To acquire this information, sensors are used, capable of transforming variables such as temperature, environmental humidity, soil humidity, amount of ambient light, into electrical signals that are processed by an electronic microcontroller. This microcontroller is in charge of handling this data, it is also in charge of controlling the use of water irrigation pumps in a closed environment and later storing, in a database, its behavior. In the field of agriculture, the use of electronic hardware is implemented as a tool that helps in this area, presenting sensors to capture data and actuators that are useful for automating conditions such as water irrigation in closed environments.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Margret Sharmila, F., Suryaganesh, P., Abishek, M., Benny, U.: IoT based smart window using sensor Dht11. In: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 782–784 (2019). https://doi.org/10.1109/ICACCS.2019.8728426
Dheena, P.P.F., Raj, G.S., Dutt, G., Jinny, S.V.: IOT based smart street light management system. In: 2017 IEEE International Conference on Circuits and Systems (ICCS), pp. 368–371 (2017). https://doi.org/10.1109/ICCS1.2017.8326023
Liu, M., Zhang, C.: Design of hierarchical monitoring system for crop growth environment based on arduino yún development platform. In: 2019 2nd International Conference on Safety Produce Informatization (IICSPI), pp. 515–519 (2019). https://doi.org/10.1109/IICSPI48186.2019.9095958
Ayele, T.W., Mehta, R.: Real time temperature prediction using IoT. In: 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), pp. 1114–1117 (2018). https://doi.org/10.1109/ICICCT.2018.8473209
Nagaraja, G.S., Soppimath, A.B., Soumya, T., Abhinith, A.: IoT based smart agriculture management system. In: 2019 4th International Conference on Computational Systems and Information Technology for Sustainable Solution (CSITSS), pp. 1–5 (2019). https://doi.org/10.1109/CSITSS47250.2019.9031025
Coelho, A.D., Dias, B.G., de Oliveira Assis, W., de Almeida Martins, F., Pires, R.C.: Monitoring of soil moisture and atmospheric sensors with Internet of Things (IoT) applied in precision agriculture. In: 2020 XIV Technologies Applied to Electronics Teaching Conference (TAEE), pp. 1–8 (2020). https://doi.org/10.1109/TAEE46915.2020.9163766
Bhadani, P., Vashisht, V.: Soil moisture, temperature and humidity measurement using Arduino. In: 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 567–571 (2019). https://doi.org/10.1109/CONFLUENCE.2019.8776973
Kumar, M.S., Chandra, T.R., Kumar, D.P., Manikandan, M.S.: Monitoring moisture of soil using low cost homemade Soil moisture sensor and Arduino UNO. In: 2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 1–4 (2016). https://doi.org/10.1109/ICACCS.2016.7586312
Muzdrikah, F.S., Nuha, M.S., Rizqi, F.A.: Calibration of capacitive soil moisture sensor (SKU:SEN0193). In: 2018 4th International Conference on Science and Technology (ICST), pp. 1–6 (2018). https://doi.org/10.1109/ICSTC.2018.8528624
Mayuree, M., Aishwarya, P., Bagubali, A.: Automatic plant watering system. In: 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), pp. 1–3 (2019). https://doi.org/10.1109/ViTECoN.2019.8899452
Bhardwaj, S., Dhir, S., Hooda, M.: Automatic plant watering system using IoT. In: 2018 Second International Conference on Green Computing and Internet of Things (ICGCIoT), pp. 659–663 (2018). https://doi.org/10.1109/ICGCIoT.2018.8753100
Siva, K.N., Kumar G.R., Bagubali, A., Krishnan, K.V.: Smart watering of plants. In: 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), pp. 1–4 (2019). https://doi.org/10.1109/ViTECoN.2019.8899371
Kumar, J., Gupta, N., Kumari, A., Kumari, S.: Automatic plant watering and monitoring system using NodeMCU. In: 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 545–550 (2019). https://doi.org/10.1109/CONFLUENCE.2019.8776956
Divani, D., Patil, P., Punjabi, S.K.: Automated plant watering system. In: 2016 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC), pp. 180–182 (2016). https://doi.org/10.1109/ICCPEIC.2016.7557245
Derisa, M., Mulyana, E., Sumaryo, S.: Designing a data logger monitoring system prototype on automatic PlantSprinklers. In: 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), pp. 1–7 (2019). https://doi.org/10.1109/ICWT47785.2019.8978250
Tombe, R.: Computer vision for smart farming and sustainable agriculture. In: 2020 IST-Africa Conference (IST-Africa), pp. 1–8 (2020)
Mukherjee, A., Jana, P., Chakraborty, S., Saha, S.K.: Two stage semantic segmentation by SEEDS and Fork Net. In: 2020 IEEE Calcutta Conference (CALCON), pp. 283–287 (2020). https://doi.org/10.1109/CALCON49167.2020.9106468
Chauhan, S., Agrawal, P., Madaan, V.: E-Gardener: building a plant caretaker robot using computer vision. In: 2018 4th International Conference on Computing Sciences (ICCS), pp. 137–142 (2018). https://doi.org/10.1109/ICCS.2018.00031
Islam, A., Saha, P., Rana, M., Adnan, M.M., Pathik, B.B.: Smart gardening assistance system with the capability of detecting leaf disease in MATLAB. In: 2019 IEEE Pune Section International Conference (PuneCon), pp. 1–6 (2019). https://doi.org/10.1109/PuneCon46936.2019.9105677
Correll, N., et al.: Building a distributed robot garden. In: 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1509–1516 (2009). https://doi.org/10.1109/IROS.2009.5354261
Acknowledgment
This work has been possible thanks to the support of the Vice-Rectorate of Research of the University of Azuay, Cuenca - Ecuador.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Cordero, I.A., Torres, H.M., Salgado, F.D. (2021). Design of an Electronic System for the Exploration of Agricultural Parameters in Solanum Lycopersicum Germination. In: Salgado Guerrero, J.P., Chicaiza Espinosa, J., Cerrada Lozada, M., Berrezueta-Guzman, S. (eds) Information and Communication Technologies. TICEC 2021. Communications in Computer and Information Science, vol 1456. Springer, Cham. https://doi.org/10.1007/978-3-030-89941-7_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-89941-7_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-89940-0
Online ISBN: 978-3-030-89941-7
eBook Packages: Computer ScienceComputer Science (R0)