Nowadays, smart agriculture using wireless communication is replacing the wired system which was difficult to install and manage. Then, this paper introduces a new design for IoT application on the greenhouse, which utilizes different technologies to present a new model for practical implementation in the IoT concept. This design can settle a new method to solve problems in Market Demand, Precision in Operation and supervision. Furthermore, this design can be used in many cases and assist farmers, cropper and planted people to develop their business.
References
[1]
Internet of Things Global Standards Initiative.
https://www.itu.int/en/ITU-T/gsi/iot/Pages/default.aspx
[2]
Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions. Future Generation Computer Systems, 29, 1645-1660.
https://www.sciencedirect.com/science/article/pii/S0167739X13000241
Akopyan, V.A. (2016) EC and PH Sensors for Arduino.
https://blog.quickbird.uk/ec-and-ph-sensors-for-arduino-98bb70c756b9
[5]
SprintIR—Wide Range 100% CO2 Sensor.
https://www.co2meter.com/products/sprintir-100 percent-co2-sensor?variant=212693617&utm_ medium=cpc&utm_source=google&utm_campaign=Google%20Shop-ping&gclid=Cj0KCQjw45_ bBRD_ARIsAJ6wUXQ5zmrIPdC0ujzaztLKjNV2934aP_S3hE51VejxJiQznZwd2dNHFgsaAkiMEALw_wcB
Gas-Fueled CHP Delivers Heat, CO2 for Greenhouses. Consulting—Specifying Engineer, 25 July 2014.
https://www.csemag.com/articles/gas-fueled-chp-delivers-heat-co2-for-greenhouses/
Chen, J.Y. and Zhou, X.P. (2006) ZigBee Wireless Communication Technology in Industrial Controls. Radio Engineering of China, 36, 61-64
[10]
Pekhteryev, G., Sahinoglu, Z., Orlik, P. and Bhatti, G. (2005) Image Transmission over IEEE 802.15.4 and ZigBee Networks. 2005 IEEE International Symposium on Circuits and Systems, Kobe, Japan, 23-26 May 2005.
[11]
Wei, W.D. (2010) The Design of Embedded Wireless Monitoring System Based on ZigBee Technology. Applied Mechanics and Materials, 34-35, 1109-1113.
https://doi.org/10.4028/www.scientific.net/AMM.34-35.1109
[12]
The United States, Department of Agriculture. (2019) What Are Crop Simulation Models? https://www.ars.usda.gov/northeast-area/beltsville-md-barc/beltsville-agricultural-research-center/adaptive-cropping-systems-laboratory/docs/what-are-crop-simulation-models/
[13]
Dai, X., Huo, Z. and Wang, H. (2011) Simulation for Response of Crop Yield to Soil Moisture and Salinity with Artificial Neural Network. Field Crops Research, 121, 441-449. https://doi.org/10.1016/j.fcr.2011.01.016
[14]
Zhang, J.Q., Zhang, L.X., Zhang, M.H. and Watson, C. (2009) Prediction of Soybean Growth and Development Using Artificial Neural Network and Statistical Models. Acta Agronomica Sinica, 35, 341-347.
https://doi.org/10.1016/S1875-2780(08)60064-4
[15]
Fortin, J.G., Anctil, F., Parent, L. and Bolinder, M.A. (2010) A Neural Network Experiment on the Site-Specific Simulation of Potato Tuber Growth in Eastern Canada. Computers and Electronics in Agriculture, 73, 126-132.
https://doi.org/10.1016/j.compag.2010.05.011
[16]
Park, S.J., Hwang, C.S. and Vlek, P.L.G. (2005) Comparison of Adaptive Techniques to Predict Crop Yield Response under Varying Soil and Land Management Conditions. Agricultural Systems, 85, 59-81. https://doi.org/10.1016/j.agsy.2004.06.021
[17]
Green, T.R., Salas, J.D., Martinez, A. and Erskine, R.H. (2007) Relating Crop Yield to Topographic Attributes Using Spatial Analysis Neural Networks and Regression. Geoderma, 139, 23-37. https://doi.org/10.1016/j.geoderma.2006.12.004
[18]
Khazaei, J., Naghavi, M.R., Jahansouz, M.R. and Salimi-Khorshidi, G. (2008) Yield Estimation and Clustering of Chickpea Genotypes Using Soft Computing Techniques. Agronomy Journal, 100, 1077-1087.
https://doi.org/10.2134/agronj2006.0244
[19]
Basso, B., Cammarano, D. and Carfagna, E. (2019) Review of Crop Yield Forecasting Methods and Early Warning Systems. Department of Geological Sciences Michigan State University, USA.
http://www.fao.org/fileadmin/templates/ess/documents/meetings_and_workshops/GS_SAC_2013/ Improving_methods_for_crops_estimates/Crop_Yield_Forecasting_Methods_and_Early_Warning_ Systems_Lit_review.pdf
[20]
Muthusinghe, M.R.S., et al. (2018) Towards Smart Farming: Accurate Prediction of Paddy Harvest and Rice Demand. 2018 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Malambe, Sri Lanka, Sri Lanka, 6 December 2018.
https://doi.org/10.1109/R10-HTC.2018.8629843
[21]
Kodali, R.K., Jain, V. and Karagwal, S. (2016) IoT Based Smart Greenhouse. 2016 IEEE Region 10 Humanitarian Technology Conference (R10-HTC), Agra, India, 21-23 December 2016.
https://doi.org/10.1109/R10-HTC.2016.7906846
[22]
Soil Erosion: An Agricultural Production Challenge.
https://crops.extension.iastate.edu/soil-erosion-agricultural-production-challenge
