The increasing global population has led to a higher demand for food production, while a decrease in rural labor and a rise in production costs present complex challenges for the food industry. Smart agriculture is a farm management concept that considers the deployment of Internet of Things (IoT) to address current food production challenges. In this regard, the agricultural sector is becoming increasingly data-focused, and requires data and technologies that are more precise, advanced, and cutting-edge than in the past. IoT enables agriculture to become data-driven, resulting in timely and more cost-effective farm intervention while reducing environmental impact. This review provides an analytical survey of the current and potential applications of IoT in smart agriculture to overcome challenges posed by spatio-temporal variability under varying environments and task diversity. This review also discusses the challenges that may arise from IoT deployment and presents an overview of the existing applications and those that may be developed in the future.
KeywordsSmart AgricultureInternet of Things (IoT)Precision FarmingData-Driven AgricultureAgricultural TechnologySustainable Food Production
Akhter, R. and Sofi, S.A. (2022) Precision Agriculture Using IoT Data Analytics and Machine Learning. Journal of King Saud University - Computer and Information Sciences , 34, 5602-5618. https://doi.org/10.1016/j.jksuci.2021.05.013
Patil, V.C., Al-Gaadi, K.A., Biradar, D.P. and Rangaswamy, M. (2012) Internet of Things (IoT) and Cloud Computing for Agriculture: An Overview. Proceedings of Agro - Informatics and Precision Agriculture ( AIPA 2012), India, 1 August 2012, 292-296.
Dlodlo, N. and Kalezhi, J. (2015) The Internet of Things in Agriculture for Sustainable Rural Development. 2015 International Conference on Emerging Trends in Networks and Computer Communications ( ETNCC ), Windhoek, 17-20 May 2015, 13-18. https://doi.org/10.1109/etncc.2015.7184801
Kim, W., Lee, W. and Kim, Y. (2020) A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation. Journal of Biosystems Engineering , 45, 385-400. https://doi.org/10.1007/s42853-020-00078-3
Mentsiev, A.U., Mentsiev, A.U. and Amirova, E.F. (2020) IoT and Mechanization in Agriculture: Problems, Solutions, and Prospects. IOP Conference Series : Earth and Environmental Science , 548, Article 032035. https://doi.org/10.1088/1755-1315/548/3/032035
Madushanki, A.A.R., N, M., A., W. and Syed, A. (2019) Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review. International Journal of Advanced Computer Science and Applications , 10, 11-28. https://doi.org/10.14569/ijacsa.2019.0100402
Köksal, Ö. and Tekinerdogan, B. (2018) Architecture Design Approach for IoT-Based Farm Management Information Systems. Precision Agriculture , 20, 926-958. https://doi.org/10.1007/s11119-018-09624-8
Muangprathub, J., Boonnam, N., Kajornkasirat, S., Lekbangpong, N., Wanichsombat, A. and Nillaor, P. (2019) IoT and Agriculture Data Analysis for Smart Farm. Computers and Electronics in Agriculture , 156, 467-474. https://doi.org/10.1016/j.compag.2018.12.011
Pan, L., Xu, M., Xi, L. and Hao, Y. (2016) Research of Livestock Farming IoT System Based on RESTful Web Services. 2016 5 th International Conference on Computer Science and Network Technology ( ICCSNT ), Changchun, 10-11 December 2016, 113-116. https://doi.org/10.1109/iccsnt.2016.8070130
Nawandar, N.K. and Satpute, V.R. (2019) IoT Based Low Cost and Intelligent Module for Smart Irrigation System. Computers and Electronics in Agriculture , 162, 979-990. https://doi.org/10.1016/j.compag.2019.05.027
Liao, M., Chen, S., Chou, C., Chen, H., Yeh, S., Chang, Y., et al . (2017) On Precisely Relating the Growth of Phalaenopsis Leaves to Greenhouse Environmental Factors by Using an IoT-Based Monitoring System. Computers and Electronics in Agriculture , 136, 125-139. https://doi.org/10.1016/j.compag.2017.03.003
Reid, J., Moorehead, S., Foessel, A. and Sanchez, J. (2016) Autonomous Driving in Agriculture Leading to Autonomous Worksite Solutions. SAE Technical Paper Series 2016-01-8006. https://doi.org/10.4271/2016-01-8006
Boursianis, A.D., Papadopoulou, M.S., Diamantoulakis, P., Liopa-Tsakalidi, A., Barouchas, P., Salahas, G., et al . (2022) Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in Smart Farming: A Comprehensive Review. Internet of Things , 18, Article 100187. https://doi.org/10.1016/j.iot.2020.100187
Ravindra, S. (2018) IoT Applications in Agriculture. https://www.agritechtomor-row.com/article/2018/01/iot-applications-inagriculture/10457
Pang, Z., Chen, Q., Han, W. and Zheng, L. (2012) Value-Centric Design of the Internet-of-Things Solution for Food Supply Chain: Value Creation, Sensor Portfolio and Information Fusion. Information Systems Frontiers , 17, 289-319. https://doi.org/10.1007/s10796-012-9374-9
Khan, N., Ray, R.L., Sargani, G.R., Ihtisham, M., Khayyam, M. and Ismail, S. (2021) Current Progress and Future Prospects of Agriculture Technology: Gateway to Sustainable Agriculture. Sustainability , 13, Article No. 4883. https://doi.org/10.3390/su13094883
Torres-Ruiz, M., Juárez-Hipólito, J.H., Lytras, M.D. and Moreno-Ibarra, M. (2016) Environmental Noise Sensing Approach Based on Volunteered Geographic Information and Spatio-Temporal Analysis with Machine Learning. Computational Science and Its Applications — ICCSA 2016, Beijing, 4-7 July 2016, 95-110. https://doi.org/10.1007/978-3-319-42089-9_7
Hachem, S., Mallet, V., Ventura, R., Pathak, A., Issarny, V., Raverdy, P., et al . (2015) Monitoring Noise Pollution Using the Urban Civics Middleware. 2015 IEEE First International Conference on Big Data Computing Service and Applications , Redwood City, 30 March-2 April 2015, 52-61. https://doi.org/10.1109/bigdataservice.2015.16
Liu, Z., Huang, J., Wang, Q., Wang, Y. and Fu, J. (2013) Real-Time Barrier Lakes Monitoring and Warning System Based on Wireless Sensor Network. 2013 Fourth Inte rnational Conference on Intelligent Control and Information Processing ( ICICIP ), Beijing, 9-11 June 2013, 551-554. https://doi.org/10.1109/icicip.2013.6568136
Antony, A.P., Leith, K., Jolley, C., Lu, J. and Sweeney, D.J. (2020) A Review of Practice and Implementation of the Internet of Things (IoT) for Smallholder Agriculture. Sustainability , 12, Article No. 3750. https://doi.org/10.3390/su12093750
Friha, O., Ferrag, M.A., Shu, L., Maglaras, L. and Wang, X. (2021) Internet of Things for the Future of Smart Agriculture: A Comprehensive Survey of Emerging Technologies. IEEE / CAA Journal of Automatica Sinica , 8, 718-752. https://doi.org/10.1109/jas.2021.1003925
Gasso-Tortajada, V., Ward, A.J., Mansur, H., Brøchner, T., Sørensen, C.G. and Green, O. (2010) A Novel Acoustic Sensor Approach to Classify Seeds Based on Sound Absorption Spectra. Sensors , 10, 10027-10039. https://doi.org/10.3390/s101110027
Yunus, M.A.M. and Mukhopadhyay, S.C. (2011) Novel Planar Electromagnetic Sensors for Detection of Nitrates and Contamination in Natural Water Sources. IEEE Sensors Journal , 11, 1440-1447. https://doi.org/10.1109/jsen.2010.2091953
Crabit, A., Colin, F., Bailly, J.S., Ayroles, H. and Garnier, F. (2011) Soft Water Level Sensors for Characterizing the Hydrological Behaviour of Agricultural Catchments. Sensors , 11, 4656-4673. https://doi.org/10.3390/s110504656
Cocovi-Solberg, D.J., Rosende, M. and Miró, M. (2014) Automatic Kinetic Bioaccessibility Assay of Lead in Soil Environments Using Flow-Through Microdialysis as a Front End to Electrothermal Atomic Absorption Spectrometry. Environmental Science & Technology , 48, 6282-6290. https://doi.org/10.1021/es405669b
Yew, T.K., Yusoff, Y., Sieng, L.K., Lah, H.C., Majid, H. and Shelida, N. (2014) An Electrochemical Sensor ASIC for Agriculture Applications. 2014 37 th International Convention on Information and Communication Technology , Electronics and Microelectronics ( MIPRO ), Opatija, 26-30 May 2014, 85-90. https://doi.org/10.1109/mipro.2014.6859538
Mark, T. and Griffin, T. (2016) Defining the Barriers to Telematics for Precision Agriculture: Connectivity Supply and Demand. Southern Agricultural Economics Association ’ s 2016 Annual Meeting , San Antonio, 6-9 February 2016, No. 230090.
Dvorak, J.S., Stone, M.L. and Self, K.P. (2016) Object Detection for Agricultural and Construction Environments Using an Ultrasonic Sensor. Journal of Agricultural Safety and Health , 22, 107-119.
Gómez Álvarez-Arenas, T., Gil-Pelegrin, E., Ealo Cuello, J., Fariñas, M., Sancho-Knapik, D., Collazos Burbano, D., et al . (2016) Ultrasonic Sensing of Plant Water Needs for Agriculture. Sensors , 16, Article No. 1089. https://doi.org/10.3390/s16071089
Jaafar, H.H. and Woertz, E. (2016) Agriculture as a Funding Source of ISIS: A GIS and Remote Sensing Analysis. Food Policy , 64, 14-25. https://doi.org/10.1016/j.foodpol.2016.09.002
Hemmat, A., Binandeh, A.R., Ghaisari, J. and Khorsandi, A. (2013) Development and Field Testing of an Integrated Sensor for On-the-Go Measurement of Soil Mechanical Resistance. Sensors and Actuators A : Physical , 198, 61-68. https://doi.org/10.1016/j.sna.2013.04.027
Schuster, J.N., Darr, M.J. and McNaull, R.P. (2017) Performance Benchmark of Yield Monitors for Mechanical and Environmental Influences. 2017 ASABE Annual International Meeting , Washington, 16-19 July 2017, No. 1700881. https://doi.org/10.13031/aim.201700881
Jayasuriya, Y.P., Elvitigala, C.S., Wamakulasooriya, K. and Sudantha, B. (2018) Low Cost and IoT Based Greenhouse with Climate Monitoring and Controlling System for Tropical Countries. 2018 International Conference on System Science and Engineering ( ICSSE ), New Taipei City, 28-30 June 2018, 1-6. https://doi.org/10.1109/icsse.2018.8519997
Ganesh, P., Tamilselvi, K., & Karthi, P. (2018) Crop Prediction by Monitoring Temperature and Rainfall Using Decision Tree with IoT and Cloud-Based System. Intern ational Co nference on Computing Intelligence and Data Science ( ICCIDS ), Gurugram, 7-8 April 2018, 1-9.
Nagamani, P., Sundari Jahnavi, M., Govind Raju, N.N., Bhanu Shankar, A. and Go-vind Reddy, K.S. (2019) Smart Hydroponics Water Monitoring Using IoT. Journal of Emerging Technologies and Innovative Research , 6, 114-120.
Novero, A.U., Pasaporte, M.S., Aurelio, R.M., Madanguit, C.J.G., Tinoy, M.R.M., Luayon, M.S., et al . (2019) The Use of Light Detection and Ranging (Lidar) Technology and GIS in the Assessment and Mapping of Bioresources in Davao Region, Mindanao Island, Philippines. Remote Sensing Applications: Society and Environment , 13, 1-11. https://doi.org/10.1016/j.rsase.2018.10.011
Fu, L., Gao, F., Wu, J., Li, R., Karkee, M. and Zhang, Q. (2020) Application of Consumer RGB-D Cameras for Fruit Detection and Localization in Field: A Critical Review. Computers and Electronics in Agriculture , 177, Article 105687. https://doi.org/10.1016/j.compag.2020.105687
Alfian, G., Syafrudin, M. and Rhee, J. (2017) Real-Time Monitoring System Using Smartphone-Based Sensors and Nosql Database for Perishable Supply Chain. Sustainability , 9, Article No. 2073. https://doi.org/10.3390/su9112073
Pongnumkul, S., Chaovalit, P. and Surasvadi, N. (2015) Applications of Smartphone-Based Sensors in Agriculture: A Systematic Review of Research. Journal of Sensors , 2015, Article 195308. https://doi.org/10.1155/2015/195308
Minkoua Nzie, J.R., Bidogeza, J.C. and Azinwi Ngum, N. (2017) Mobile Phone Use, Transaction Costs, and Price: Evidence from Rural Vegetable Farmers in Cameroon. Journal of African Business , 19, 323-342. https://doi.org/10.1080/15228916.2017.1405704
Yu, Q., Shi, Y., Tang, H., Yang, P., Xie, A., Liu, B., et al . (2017) eFarm: A Tool for Better Observing Agricultural Land Systems. Sensors , 17, Article No. 453. https://doi.org/10.3390/s17030453
Işık, M., Sönmez, Y., Yılmaz, C., Özdemir, V. and Yılmaz, E. (2017) Precision Irrigation System (PIS) Using Sensor Network Technology Integrated with IOS/Android Application. Applied Sciences , 7, Article No. 891. https://doi.org/10.3390/app7090891
Guler, E., Yilmaz Sengel, T., Gumus, Z.P., Arslan, M., Coskunol, H., Timur, S., et al . (2017) Mobile Phone Sensing of Cocaine in a Lateral Flow Assay Combined with a Biomimetic Material. Analytical Chemistry , 89, 9629-9632. https://doi.org/10.1021/acs.analchem.7b03017
Wyche, S. and Steinfield, C. (2015) Why Don’t Farmers Use Cell Phones to Access Market Prices? Technology Affordances and Barriers to Market Information Services Adoption in Rural Kenya. Information Technology for Development , 22, 320-333. https://doi.org/10.1080/02681102.2015.1048184
Baumüller, H. (2017) The Little We Know: An Exploratory Literature Review on the Utility of Mobile Phone‐Enabled Services for Smallholder Farmers. Journal of Interna t ional Development , 30, 134-154. https://doi.org/10.1002/jid.3314
Debauche, O., Mahmoudi, S., Andriamandroso, A.L.H., Manneback, P., Bindelle, J. and Lebeau, F. (2018) Cloud Services Integration for Farm Animals’ Behavior Studies Based on Smartphones as Activity Sensors. Journal of Ambient Intelligence and Humanized Computing , 10, 4651-4662. https://doi.org/10.1007/s12652-018-0845-9
Wan, X., Cui, J., Jiang, X., Zhang, J., Yang, Y. and Zheng, T. (2018) Smartphone Based Hemispherical Photography for Canopy Structure Measurement. Proceedings Volume 10621, 2017 International Conference on Optical Instruments and Technology : Optoelectronic Measurement Technology and Systems , Beijing, 28-30 October 2017, 106210Q. https://doi.org/10.1117/12.2285911
Frommberger, L., Schmid, F. and Cai, C. (2013) Micro-Mapping with Smartphones for Monitoring Agricultural Development. Proceedings of the 3 rd ACM Symposium on Computing for Development , Bangalore, 11-12 January 2013, 1-2. https://doi.org/10.1145/2442882.2442934
Andriamandroso, A.L.H., Lebeau, F., Beckers, Y., Froidmont, E., Dufrasne, I., Heinesch, B., et al . (2017) Development of an Open-Source Algorithm Based on Inertial Measurement Units (IMU) of a Smartphone to Detect Cattle Grass Intake and Ruminating Behaviors. Computers and Electronics in Agriculture , 139, 126-137. https://doi.org/10.1016/j.compag.2017.05.020
Azam, M.F.M., Rosman, S.H., Mustaffa, M., Mullisi, S.M.S., Wahy, H., Jusoh, M.H., et al . (2016) Hybrid Water Pump System for Hilly Agricultural Site. 2016 7 th IEEE Control and System Graduate Research Colloquium ( ICSGRC ), Shah Alam, 8 August 2016, 109-114. https://doi.org/10.1109/icsgrc.2016.7813311
Herrick, J.E., Beh, A., Barrios, E., Bouvier, I., Coetzee, M., Dent, D., et al . (2016) The Land‐Potential Knowledge System (Landpks): Mobile Apps and Collaboration for Optimizing Climate Change Investments. Ecosystem Health and Sustainability , 2, e01209. https://doi.org/10.1002/ehs2.1209
Ayaz, M., Ammad-Uddin, M., Sharif, Z., Mansour, A. and Aggoune, E.M. (2019) Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk. IEEE Access , 7, 129551-129583. https://doi.org/10.1109/access.2019.2932609
Orlando, F., Movedi, E., Coduto, D., Parisi, S., Brancadoro, L., Pagani, V., et al . (2016) Estimating Leaf Area Index (LAI) in Vineyards Using the Pocketlai Smart-App. Sensors , 16, Article No. 2004. https://doi.org/10.3390/s16122004
Sopegno, A., Calvo, A., Berruto, R., Busato, P. and Bocthis, D. (2016) A Web Mobile Application for Agricultural Machinery Cost Analysis. Computers and Electronics in Agriculture , 130, 158-168. https://doi.org/10.1016/j.compag.2016.08.017
Bueno-Delgado, M.V., Molina-Martínez, J.M., Correoso-Campillo, R. and Pavón-Mariño, P. (2016) Ecofert: An Android Application for the Optimization of Fertilizer Cost in Fertigation. Computers and Electronics in Agriculture , 121, 32-42. https://doi.org/10.1016/j.compag.2015.11.006
Jordan, R., Eudoxie, G., Maharaj, K., Belfon, R. and Bernard, M. (2016) Agrimaps: Improving Site-Specific Land Management through Mobile Maps. Computers and Electronics in Agriculture , 123, 292-296. https://doi.org/10.1016/j.compag.2016.02.009
Freebairn, D., Robinson, B., McClymont, D., Raine, S., Schmidt, E., Skowronski, V. and Eberhard, J. (2017) SoilWaterApp: Monitoring Soil Water Made Easy. Procee dings of the 18 th Australian Society of Agronomy Conference , Ballarat, 24-28 September 2017, 1-4.
Ferguson, J.C., Chechetto, R.G., O’Donnell, C.C., Fritz, B.K., Hoffmann, W.C., Coleman, C.E., et al . (2016) Assessing a Novel Smartphone Application—SnapCard, Compared to Five Imaging Systems to Quantify Droplet Deposition on Artificial Collectors. Computers and Electronics in Agriculture , 128, 193-198. https://doi.org/10.1016/j.compag.2016.08.022
Scholz, M. (2018) Enhancing Adoption of Integrated Weed Management—An Australian Farmer’s Perspective. Outlooks on Pest Management , 29, 66-69. https://doi.org/10.1564/v29_apr_04
Suen, R.C.L., Chang, K.T.T., Wan, M.P., Ng, Y.C. and Tan, B.C.Y. (2014) Interactive Experiences Designed for Agricultural Communities. CHI ’14 Extended Abstracts on Human Factors in Computing Systems , Toronto, 26 April-1 May 2014, 551-554. https://doi.org/10.1145/2559206.2574819
Pérez-Castro, A., Sánchez-Molina, J.A., Castilla, M., Sánchez-Moreno, J., Moreno-Úbeda, J.C. and Magán, J.J. (2017) cFertigUAL: A Fertigation Management App for Greenhouse Vegetable Crops. Agricultural Water Management , 183, 186-193. https://doi.org/10.1016/j.agwat.2016.09.013
Durmus, H. and Gunes, E.O. (2019) Integration of the Mobile Robot and Internet of Things to Collect Data from the Agricultural Fields. 2019 8 th International Conference on Agro - Geoinformatics ( Agro - Geoinformatics ), Istanbul, 16-19 July 2019, 1-5. https://doi.org/10.1109/agro-geoinformatics.2019.8820578
Reina, G., Galati, R. and Milella, A. (2018) All-Terrain Estimation for Mobile Robots in Precision Agriculture. 2018 IEEE International Conference on Industrial Technology ( ICIT ), Lyon, 20-22 February 2018, 63-68. https://doi.org/10.1109/icit.2018.8352153
Khan, N., Siddiqui, B.N., Khan, N., Khan, F., Ullah, N., Ihtisham, M., et al . (2020) Analyzing Mobile Phone Usage in Agricultural Modernization and Rural Development. International Journal of Agricultural Extension , 8, 139-147. https://doi.org/10.33687/ijae.008.02.3255
Villa-Henriksen, A., Edwards, G.T.C., Pesonen, L.A., Green, O. and Sørensen, C.A.G. (2020) Internet of Things in Arable Farming: Implementation, Applications, Challenges and Potential. Biosystems Engineering , 191, 60-84. https://doi.org/10.1016/j.biosystemseng.2019.12.013
Mathivanan, S. and Jayagopal, P. (2018) A Big Data Virtualization Role in Agriculture: A Comprehensive Review. Walailak Journal of Science and Technology ( WJST ), 16, 55-70. https://doi.org/10.48048/wjst.2019.3620
Coble, K.H., Mishra, A.K., Ferrell, S. and Griffin, T. (2018) Big Data in Agriculture: A Challenge for the Future. Applied Economic Perspectives and Policy , 40, 79-96. https://doi.org/10.1093/aepp/ppx056
Wolfert, S., Ge, L., Verdouw, C. and Bogaardt, M. (2017) Big Data in Smart Farming—A Review. Agricultural Systems , 153, 69-80. https://doi.org/10.1016/j.agsy.2017.01.023
Sarker, M.N.I., Islam, M.S., Ali, M.A., Islam, M.S., Salam, M.A. and Mahmud, S.H. (2019) Promoting Digital Agriculture through Big Data for Sustainable Farm Management. International Journal of Innovation and Applied Studies , 25, 1235-1240.
Gill, S.S., Chana, I. and Buyya, R. (2017) IoT Based Agriculture as a Cloud and Big Data Service. Journal of Organizational and End User Computing , 29, 1-23. https://doi.org/10.4018/joeuc.2017100101
Rajeswari, S., Suthendran, K. and Rajakumar, K. (2017) A Smart Agricultural Model by Integrating IoT, Mobile and Cloud-Based Big Data Analytics. 2017 International Conference on Intelligent Computing and Control ( I 2 C 2), Coimbatore, 23-24 June 2017, 1-5. https://doi.org/10.1109/i2c2.2017.8321902
Bhavani, D.D. and Bharati, R.B.S. (2017) An Efficient Method to Incorporate Precision Farming in Indian Agriculture Using Robotics and Internet of Things. International Journal of Research in IT & Management , 6, 71-79.
Marjani, M., Nasaruddin, F., Gani, A., Karim, A., Hashem, I.A.T., Siddiqa, A. and Yaqoob, I. (2017) Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges. IEEE Access , 5, 5247-5261.
Ravisankar, K., Sidhardha, K. and Prabadevi, B. (2017) Analysis of Agricultural Data Using Big Data Analytics. Journal of Chemical and Pharmaceutical Sciences , 10, 1132-1135.
Liu, R., Zhang, Y., Ge, Y., Hu, W. and Sha, B. (2020) Precision Regulation Model of Water and Fertilizer for Alfalfa Based on Agriculture Cyber-Physical System. IEEE Access , 8, 38501-38516. https://doi.org/10.1109/access.2020.2975672
Aher, A., Kasar, J., Ahuja, P., &Jadhav, V. (2018) Smart Agriculture Using Clustering and IoT. International Research Journal of Engineering and Technology , 5, 4065-4068.
Al-kahtani, M.S. and Karim, L. (2018) Dynamic Data Aggregation Approach for Sensor-Based Big Data. International Journal of Advanced Computer Science and Applications , 9, 62-72. https://doi.org/10.14569/ijacsa.2018.090710
Ngo, V.M., Le-Khac, N.A. and Kechadi, M. (2018) An Efficient Data Warehouse for Crop Yield Prediction. 2018 International Conference on Precision Agriculture , Montreal, 24-27 June 2018, 1-12.
Liu, J., Chai, Y., Xiang, Y., Zhang, X., Gou, S. and Liu, Y. (2018) Clean Energy Consumption of Power Systems Towards Smart Agriculture: Roadmap, Bottlenecks and Technologies. CSEE Journal of Power and Energy Systems , 4, 273-282. https://doi.org/10.17775/cseejpes.2017.01290
Kumar, H. and Menakadevi, T. (2018) A Review on Big Data Analytics in the Field of Agriculture. International Journal of Latest Transactions in Engineering and Science , 1, 1-10.
Rao, G.P.R., Indira, V.V.S., Manikanta, P. and Srinivas, D.M. (2019) Large Scale Farming Analysis with the Help of IoT & Data Analytics. International Journal of Advanced Multidisciplinary Scientific Research , 2, 27-39.
Surya, P. and Laurence Aroquiaraj, I. (2019) Performance Analysis of K-Means and K-Medoid Clustering Algorithms Using Agriculture Dataset. Journal of Emerging Technologies and Innovative Research , 6, 539-545.
Liu, S., Guo, L., Webb, H., Ya, X. and Chang, X. (2019) Internet of Things Monitoring System of Modern Eco-Agriculture Based on Cloud Computing. IEEE Access , 7, 37050-37058. https://doi.org/10.1109/access.2019.2903720
Nuvvula, J., Adiraju, S., Mubin, S., Shahana, B. and Valisetty, V. (2017) Environmental Smart Agriculture Monitoring System Using Internet of Things. International Journal of Pure and Applied Mathematics , 115, 313-320.
Santhiya, B., Govindharaj, I., Soundharya, C., Priyanka, R., Rajadurai, R., Maduravani, B. and Shanmukhi, M. (2018) Smart Monitoring of Tarrace Garden Using Solar Energy. International Journal of Pure and Applied Mathematics , 118, 387-392.
Kovács, I. and Husti, I. (2018) The Role of Digitalization in the Agricultural 4.0—How to Connect the Industry 4.0 to Agriculture? Hungarian Agricultural Engineering , No. 33, 38-42. https://doi.org/10.17676/hae.2018.32.38
Gupta, M., Abdelsalam, M., Khorsandroo, S. and Mittal, S. (2020) Security and Privacy in Smart Farming: Challenges and Opportunities. IEEE Access , 8, 34564-34584. https://doi.org/10.1109/access.2020.2975142
Chen, J. and Yang, A. (2019) Intelligent Agriculture and Its Key Technologies Based on Internet of Things Architecture. IEEE Access , 7, 77134-77141. https://doi.org/10.1109/access.2019.2921391
Hu, Z., Xu, L., Cao, L., Liu, S., Luo, Z., Wang, J., et al . (2019) Application of Non-Orthogonal Multiple Access in Wireless Sensor Networks for Smart Agriculture. IEEE Access , 7, 87582-87592. https://doi.org/10.1109/access.2019.2924917
Aliev, K., Moazzam, M., Narejo, S., Pasero, E. and Pulatov, A. (2018) Internet of Plants Application for Smart Agriculture. International Journal of Advanced Computer Science and Applications , 9, 421-429. https://doi.org/10.14569/ijacsa.2018.090458
Anushree, M.K. and Krishna, R. (2018) A Smart Farming System Using Arduino Based Technology. International Journal of Advance Research , Ideas and Innovations in Technology , 4, 850-856.
Tóth, M., Felföldi, J. and Szilágyi, R. (2019) Possibilities of IoT Based Management System in Greenhouses. Georgikon for Agriculture , 23, 43-62.
Ingale, V.B. and Jadhav, D.K. (2016) Big Data: A Great Revolution in Precision Agriculture Using Predictive Weather Analysis and Soil Analysis. International Journal of Agriculture Innovations and Research , 5, 410-412.
Pini, M., Marucco, G., Falco, G., Nicola, M. and De Wilde, W. (2020) Experimental Testbed and Methodology for the Assessment of RTK GNSS Receivers Used in Precision Agriculture. IEEE Access , 8, 14690-14703. https://doi.org/10.1109/access.2020.2965741
Rasooli, M.W., Bhushan, B. and Kumar, N. (2020) Applicability of Wireless Sensor Networks & IoT in Saffron and Wheat Crops: A Smart Agriculture Perspective. International Journal of Scientific and Technological Research , 9, 2456-2461.
Kamath, R., Balachandra, M. and Prabhu, S. (2019) Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study. IEEE Access , 7, 45110-45122. https://doi.org/10.1109/access.2019.2908846
Gulec, O., Haytaoglu, E. and Tokat, S. (2020) A Novel Distributed CDS Algorithm for Extending Lifetime of WSNs with Solar Energy Harvester Nodes for Smart Agriculture Applications. IEEE Access , 8, 58859-58873. https://doi.org/10.1109/access.2020.2983112
Saad, A., Benyamina, A.E.H. and Gamatie, A. (2020) Water Management in Agriculture: A Survey on Current Challenges and Technological Solutions. IEEE Access , 8, 38082-38097. https://doi.org/10.1109/access.2020.2974977
Masek, P., Masek, J., Frantik, P., Fujdiak, R., Ometov, A., Hosek, J., et al . (2016) A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling. Sensors , 16, Article No. 1872. https://doi.org/10.3390/s16111872
Zulkifli, C.Z. and Noor, N.N. (2017) Wireless Sensor Network and Internet of Things (IoT) Solution in Agriculture. Pertanika Journal of Science and Technology , 25, 91-100.
Hong, G. and Hsieh, C. (2016) Application of Integrated Control Strategy and Bluetooth for Irrigating Romaine Lettuce in Greenhouse. IFAC - PapersOnLine , 49, 381-386. https://doi.org/10.1016/j.ifacol.2016.10.070
Petäjäjärvi, J., Mikhaylov, K., Yasmin, R., Hämäläinen, M. and Iinatti, J. (2017) Evaluation of Lora LPWAN Technology for Indoor Remote Health and Wellbeing Monitoring. International Journal of Wireless Information Networks , 24, 153-165. https://doi.org/10.1007/s10776-017-0341-8
Jing, L. and Wei, Y. (2019) Intelligent Agriculture System Based on LoRa and Qt Technology. 2019 Chinese Control and Decision Conference ( CCDC ), Nanchang, 3-5 June 2019, 4755-4760. https://doi.org/10.1109/ccdc.2019.8833476
Ojha, T., Misra, S. and Raghuwanshi, N.S. (2015) Wireless Sensor Networks for Agriculture: The State-of-the-Art in Practice and Future Challenges. Computers and Electronics in Agriculture , 118, 66-84. https://doi.org/10.1016/j.compag.2015.08.011
Lakhwani, K., Gianey, H., Agarwal, N. and Gupta, S. (2018) Development of IoT for Smart Agriculture a Review. In: Rathore, V., Worring, M., Mishra, D., Joshi, A. and Maheshwari, S., Eds., Emerging Trends in Expert Applications and Security , Springer, 425-432. https://doi.org/10.1007/978-981-13-2285-3_50
Alobid, M., Abujudeh, S. and Szűcs, I. (2022) The Role of Blockchain in Revolutionizing the Agricultural Sector. Sustainability , 14, Article No. 4313. https://doi.org/10.3390/su14074313
Sundmaeker, H., Verdouw, C., Wolfert, S. and Freire, L.P. (2022) Internet of Food and Farm 2020. In: Vermesan, O. and Friess, P., Eds., Digitising the Industry Internet of Things Connecting the Physical , Digital and Virtual Worlds , River Publishers, 129-151. https://doi.org/10.1201/9781003337966-4
Yalew, S.G., van Griensven, A., Mul, M.L. and van der Zaag, P. (2016) Land Suitability Analysis for Agriculture in the Abbay Basin Using Remote Sensing, GIS and AHP Techniques. Modeling Earth Systems and Environment , 2, Article No. 101. https://doi.org/10.1007/s40808-016-0167-x
Wortmann, F. and Flüchter, K. (2015) Internet of Things. Business & Information Systems Engineering , 57, 221-224. https://doi.org/10.1007/s12599-015-0383-3
Kianat, J., Khan, M.A., Sharif, M., Akram, T., Rehman, A. and Saba, T. (2021) A Joint Framework of Feature Reduction and Robust Feature Selection for Cucumber Leaf Diseases Recognition. Optik , 240, Article 166566. https://doi.org/10.1016/j.ijleo.2021.166566
Rahaman, S.H. and Biswas, S. (2020) Advantages of Internet of Things (IoT) and It’s Applications in Smart Agriculture System. International Research Journal on Advanced Science Hub , 2, 4-10. https://doi.org/10.47392/irjash.2020.181
Awan, S.H., Ahmed, S., Nawaz, A., Sulaiman, S., Zaman, K., Ali, M.Y., et al . (2020) Blockchain with IoT, an Emergent Routing Scheme for Smart Agriculture. International Journal of Advanced Computer Science and Applications , 11, 420-429. https://doi.org/10.14569/ijacsa.2020.0110457
Zhao, G., Liu, S., Lopez, C., Lu, H., Elgueta, S., Chen, H., et al . (2019) Blockchain Technology in Agri-Food Value Chain Management: A Synthesis of Applications, Challenges and Future Research Directions. Computers in Industry , 109, 83-99. https://doi.org/10.1016/j.compind.2019.04.002
Vikranth, K. and K., K.P. (2021) An Implementation of IoT and Data Analytics in Smart Agricultural System—A Systematic Literature Review. International Journal of Management , Technology , and Social Sciences , 6, 41-70. https://doi.org/10.47992/ijmts.2581.6012.0129
Rajaram, K. and Sundareswaran, R. (2020) IoT Based Crop-Field Monitoring and Precise Irrigation System Using Crop Water Requirement. Computational Int elligence in Data Science , Chennai, 20-22 February 2020, 291-304. https://doi.org/10.1007/978-3-030-63467-4_23
Abba, S., Wadumi Namkusong, J., Lee, J. and Liz Crespo, M. (2019) Design and Performance Evaluation of a Low-Cost Autonomous Sensor Interface for a Smart IoT-Based Irrigation Monitoring and Control System. Sensors , 19, Article No. 3643. https://doi.org/10.3390/s19173643
Meola, A. (2016) Why IoT, Big Data & Smart Farming Are the Future of Agriculture. Business Insider. https://uk.news.yahoo.com/why-iot-big-data-smart-192155797.html
Baumüller, H. (2015) Agricultural Innovation and Service Delivery through Mobile Phones: Analyses in Kenya. Doctoral Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Fiehn, H.B., Schiebel, L., Avila, A.F., Miller, B. and Mickelson, A. (2018) Smart Agriculture System Based on Deep Learning. Proceedings of the 2 nd International Conference on Smart Digital Environment , Rabat, 18-20 October 2018, 158-165. https://doi.org/10.1145/3289100.3289126
Choi, M., Kiran, S.R., Oh, S. and Kwon, O. (2019) Blockchain-Based Badge Award with Existence Proof. Applied Sciences , 9, Article No. 2473. https://doi.org/10.3390/app9122473