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Smart Monitoring System for Vegetable Greenhouse
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 34 |
| Year of Publication: 2023 |
| Authors: Anagu Emmanuel John, Felicia Cletus, Gregory Maksha Wajiga |
10.5120/ijca2023923134
|
Anagu Emmanuel John, Felicia Cletus, Gregory Maksha Wajiga . Smart Monitoring System for Vegetable Greenhouse. International Journal of Computer Applications. 185, 34 ( Sep 2023), 46-52. DOI=10.5120/ijca2023923134
Abstract
Food security has become a growing global concern, with population growth, urbanization, and climate change presenting significant challenges to sustainable agriculture. Small-scale farmers in Nigeria face numerous challenges that hinder their ability to produce crops sustainably, including limited access to water, unpredictable weather patterns, and high energy costs. To address these challenges, there is a need for innovative solutions that leverage technology to optimize crop growth and reduce waste. Greenhouse technology offers the potential to increase crop yields and make agriculture more efficient, provided that environmental conditions are effectively regulated. Global agriculture is changing as a result of the convergence of many developing technologies being fueled by the Fourth Industrial Revolution. There are significant prospects to improve greenhouse farming by using the Internet of Things (IoT). The system is designed to keep track of and regulate greenhouse-related variables, such as temperature, humidity, and soil moisture. A cloud-based platform receives the sensor data and processes it for analysis. The system consists of an Arduino IDE-programmable Node-Micro controller with DHT11 and soil moisture sensors attached to it. Remote monitoring is made possible by the real-time transmission of sensor data through the ThingSpeak platform and ThingView application. The effectiveness of the system was tested in the Taraba greenhouse, where it regulated conditions that exceeded certain levels and notified farmers via Twitter. The validation of the system's effectiveness was achieved by comparing actual data with observed data, with the mean absolute percentage error (MAPE) being less than 10%. The system has the potential to enhance agriculture by increasing crop quality and efficiency, leading to higher profits, and contributing to the global Sustainable Development Goals, such as ending world hunger. This implementation can be further stretched for other applications to optimize agricultural production while addressing the challenges of the 21st century.
References
- Islam N, Rashid MM, Pasandideh F, Ray B, Moore S & Kadel R (2021). A Review of Applications and Communication Technologies for Internet of Things (IoT) And Unmanned Aerial Vehicle (UAV) Based Sustainable Smart Farming. Sustainability, 13(4): 1821.
- Hasan M, Uddin KNW, Sayeed A, & Tasneem T (2021). Smart Agriculture Robotic System Based on Internet of Things to Boost Crop Production. In 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST) (pp. 157-162). IEEE.
- Ivascu L, Frank Ahimaz D, Arulanandam BV & Tirian GO (2021). The Perception and Degree of Adoption by Urbanites Towards Urban Farming. Sustainability, 13(21):12151.
- Andam K, Edeh H, Oboh V, Pauw K, & Thurlow, J (2020). Impacts of COVID-19 on food systems and poverty in Nigeria. In Advances in food security and sustainability, 5(1):145-173
- Shamshiri, R. R., Jones, J. W., Thorp, K. R., Ahmad, D., Man, H. C., & Taheri, S. (2018a). Review of Optimum Temperature, Humidity, and Vapour Pressure Deficit for Microclimate Evaluation and Control in Greenhouse Cultivation of Tomato: A review. International agrophysics, 32(2), 287-302.
- Farooqui NA, Mishra AK & Mehra R (2022). IOT based automated greenhouse using machine learning approach. International Journal of Intelligent Systems and Applications in Engineering, 10(2): 226-231.
- Langemeyer J, Madrid-Lopez C, Beltran AM, & Mendez GV (2021). Urban Agriculture—A Necessary Pathway Towards Urban Resilience and Global Sustainability. Landscape and Urban Planning, 210, 104055.
- Fukase E & Martin W (2020). Economic growth, convergence, and world food demand and supply. World Development, 132, 104954.
- Chamara N, Islam MD, Bai GF, Shi Y, & Ge Y (2022). Ag-IoT for crop and environment monitoring: Past, present, and future. Agricultural Systems, 203, 103497.
- Pulighe G & Lupia F (2020). Food first: COVID-19 Outbreak and Cities Lockdown A Booster for A Wider Vision on Urban Agriculture. Sustainability, 12(12): 5012.
- Conteratto, C., do Carmo Martinelli, G., & de Oliveira, L. (2020). Food security, smart agriculture and sustainability: The state of the art in the scientific field. Risus, 11, 33-43.
- Vatari S, Bakshi A, & Thakur T (2016). Green house by using IoT and cloud computing. In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 246-250). IEEE.
- Rodríguez S, Gualotuña T & Grilo C (2017). A System for The Monitoring and Predicting of Data in Precision Agriculture in A Rose Greenhouse Based on Wireless Sensor Networks. Procedia computer science, 121(1): 306-313.
- Liang MH, He YF, Chen L J, & Du SF (2018). Greenhouse Environment Dynamic Monitoring System Based on WIFI. Ifac-Papersonline, 51(17), 736-740.
- Ali TA, Choksi V & Potdar MB (2018). Precision agriculture monitoring system using green internet of things (g-iot). In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) 481-487.
- Zhang C, Li X, Guo P, Huo Z & Huang G (2022). Enhancing Irrigation Water Productivity and Controlling Salinity Under Uncertainty: A Full Fuzzy Dependent Linear Fractional Programming Approach. Journal of Hydrology, 606, 127428.
- García-Mañas F, Megherbi H & Rodríguez, F. (2022). Real-Time Adaptation of a Greenhouse Microclimate Model Using an Online Parameter Estimator Based on A Bat Algorithm Variant. Computers and electronics in agriculture, 192, 106627.
- Wang, J., Zhou, J., Gu, R., Chen, M., & Li, P. (2018). Manage System for Internet of Things of Greenhouse Based On GWT. Information processing in agriculture, 5(2), 269-278.
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