Abstract
Smart farming with accurate greenhouses needs to be implemented for better farming growth management, and therefore, precision agriculture monitoring in diverse conditions is required. The Internet of Things (IoT) is a new era in computer communication that is gaining traction due to its vast range of applications in project development. The IoT provides individuals with smart and remote approaches, such as smart agriculture, smart environment, smart security, and smart cities. This is the most recent technology that is making things easier these days. The Internet of Things (IoT) has fundamentally expanded remote distance control and the diversity of networked things or devices, which is an intriguing element. The IoT comprises the hardware as well as the Internet connectivity to the real-time application. Sensors, actuators, embedded systems, and an Internet connection are the key components of the Internet of Things. As a result, we are interested in creating a smart farm IoT application. In greenhouse agriculture, this study presented a remote sensing of parameters and control system. The objective is to manage CO2, temperature, soil moisture, humidity, and light, with regulating actions for greenhouse windows/doors dependent on crops being carried out once a quarter throughout the year. The major goal is to properly regulate greenhouse conditions in accordance with plant requirements, in order to enhance output and provide organic farming. The results show that the greenhouse may be controlled remotely for CO2, temperature, soil moisture, humidity, and light, resulting in improved management.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zamora- M, Santa J, Martinez J, MartÃnez V, Skarmeta A (2019) Smart farming IoT platform based on edge and cloud computing. Biosys Eng 2019:4–17. https://doi.org/10.1016/j.biosystemseng.2018.10.014
Kour V, Arora S (2020) Recent developments of the internet of things in agriculture: a survey. IEEE Access 8:129924–129957. https://doi.org/10.1109/ACCESS.2020.3009298
Subahi A, Bouazza KE (2020) An intelligent IoT-based system design for controlling and monitoring greenhouse temperature. IEEE Access 1–1. https://doi.org/10.1109/ACCESS.2020.3007955
Angadi S, Katagall R (2019) Agrivigilance: a security system for intrusion detection in agriculture using raspberry Pi and Opencv. Int J Sci Technol Res 8(11)
Carrasquilla-Batista A, Chacón-RodrÃguez A (2019) Standalone fuzzy logic controller applied to greenhouse horticulture using internet of things. In: 2019 7th international engineering, sciences and technology conference (IESTEC), Panama, Panama, pp 574–579. https://doi.org/10.1109/IESTEC46403.2019.00108
Ahmed N, De D, Hussain I (2018) IoT for smart precision agriculture and farming in rural areas. IEEE Internet Things J 5(6):4890–4899. https://doi.org/10.1109/JIOT.2018.2879579
Baghrous M, Ezzouhairi A, Benamar N (2019) Towards autonomous farms based on fog computing. In: 2019 2nd IEEE Middle East and North Africa COMMunications Conference (MENACOMM), Manama, Bahrain, pp 1–4. https://doi.org/10.1109/MENACOMM46666.2019.8988547
Codeluppi G, Cilfone A, Davoli L, Ferrari G (2019) VegIoT Garden: a modular IoT management platform for urban vegetable gardens. https://doi.org/10.1109/MetroAgriFor.2019.8909228
Araby AA et al (2019) Smart IoT monitoring system for agriculture with predictive analysis. In: 2019 8th international conference on modern circuits and systems technologies (MOCAST), Thessaloniki, Greece, pp 1–4. https://doi.org/10.1109/MOCAST.2019.8741794
Arakeri MP, Vijaya Kumar BP, Barsaiya S, Sairam HV (2017) Computer vision based robotic weed control system for precision agriculture. In: 2017 international conference on advances in computing, communications and informatics (ICACCI), Udupi, pp 1201–1205. https://doi.org/10.1109/ICACCI.2017.8126005
Belista FCL, Go MPC, Luceñara LL, Policarpio CJG, Tan XJM, Baldovino RG (2018) A smart aeroponic tailored for IoT vertical agriculture using network connected modular environmental chambers. In: 2018 IEEE 10th international conference on humanoid, nanotechnology, information technology, communication and control, environment and management (HNICEM), Baguio City, Philippines, pp 1–4. https://doi.org/10.1109/HNICEM.2018.8666382
Chen W, Lin Y, Ng F, Liu C, Lin Y (2020) RiceTalk: rice blast detection using internet of things and artificial intelligence technologies. IEEE Internet Things J 7(2):1001–1010. https://doi.org/10.1109/JIOT.2019.2947624
Chen W et al (2019) AgriTalk: IoT for precision soil farming of turmeric cultivation. IEEE Internet Things J 6(3):5209–5223. https://doi.org/10.1109/JIOT.2019.2899128
Farhan L, Kharel R, Kaiwartya O, Quiroz-Castellanos M, Raza U, Teay SH (2018) LQOR: link quality-oriented route selection on internet of things networks for green computing. In: 2018 11th international symposium on communication systems, networks & digital signal processing (CSNDSP), Budapest, pp 1–6. https://doi.org/10.1109/CSNDSP.2018.8471884
Karim F, Fathallah K, Frihida A (2019) A cloud-IOT based decision support system for potato pest prevention. Procedia Comput Sci 160:616–623. https://doi.org/10.1016/j.procs.2019.11.038
Gnanaraj AA, Jayanthi JG (2017) An application framework for IoTs enabled smart agriculture waste recycle management system. In: 2017 world congress on computing and communication technologies (WCCCT), Tiruchirappalli, pp 1–5. https://doi.org/10.1109/WCCCT.2016.11
Gutiérrez S, MartÃnez I, Varona J, Cardona M, Espinosa R (2019)Smart Mobile LoRa agriculture system based on internet of things. In: IEEE 39th Central America and Panama Convention (CONCAPAN XXXIX), Guatemala City, Guatemala, pp 1–6. https://doi.org/10.1109/CONCAPANXXXIX47272.2019.8977109
Hirsch C, Bartocci E, Grosu R (2019) Capacitive soil moisture sensor node for IoT in agriculture and home. In: 2019 IEEE 23rd international symposium on consumer technologies (ISCT), Ancona, Italy, pp 97–102. https://doi.org/10.1109/ISCE.2019.8901012
Horng G, Liu M, Chen C (2020) The smart image recognition mechanism for crop harvesting system in intelligent agriculture. IEEE Sens J 20(5):2766–2781. https://doi.org/10.1109/JSEN.2019.2954287
Pooja S, Uday DV, Nagesh UB, Talekar SG (2017) Application of MQTT protocol for real time weather monitoring and precision farming. In: 2017 international conference on electrical, electronics, communication, computer, and optimization techniques (ICEECCOT), Mysuru, pp 1–6. https://doi.org/10.1109/ICEECCOT.2017.8284616
Prabha R, Sinitambirivoutin E, Passelaigue F, Ramesh MV (2018) Design and development of an IoT based smart irrigation and fertilization system for Chilli farming. In: 2018 international conference on wireless communications, signal processing and networking (WiSPNET), Chennai, pp 1–7. https://doi.org/10.1109/WiSPNET.2018.8538568
Sadowski S, Spachos P (2018) Solar-powered smart agricultural monitoring system using internet of things devices. In: 2018 IEEE 9th annual information technology, electronics and mobile communication conference (IEMCON), Vancouver, BC, pp 18–23. https://doi.org/10.1109/IEMCON.2018.8614981
Sarangi S et al (2019) An affordable IoT edge platform for digital farming in developing regions. In: 2019 11th international conference on communication systems & networks (COMSNETS), Bengaluru, India, pp 556–558. https://doi.org/10.1109/COMSNETS.2019.8711388
Sureephong P, Wiangnak P, Wicha S (2017) The comparison of soil sensors for integrated creation of IOT-based Wetting front detector (WFD) with an efficient irrigation system to support precision farming. In: 2017 international conference on digital arts, media and technology (ICDAMT), Chiang Mai, pp 132–135. https://doi.org/10.1109/ICDAMT.2017.7904949
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Rokade, A., Singh, M. (2023). Smart Farming System Based on IoT for Precision Controlled Greenhouse Management. In: Shukla, A., Murthy, B.K., Hasteer, N., Van Belle, JP. (eds) Computational Intelligence. Lecture Notes in Electrical Engineering, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-19-7346-8_37
Download citation
DOI: https://doi.org/10.1007/978-981-19-7346-8_37
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-7345-1
Online ISBN: 978-981-19-7346-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)