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Paper Title : A SURVEY ON DECISION SUPPORT SYSTEM FOR MANAGEMENT OF PARAMETERS IN PRECISION AGRICULTURE USING MACHINE LEARNING

ISSN : 2395-1303
Year of Publication : 2021
10.29126/23951303/IJET-V7I3P23

Authors: Shubham Puri, Dr.S.S.Mungona

         


Abstract
- Agriculture plays a vital role in the economic growth of any country. With the increase of population, frequent changes in climatic conditions and limited resources, it becomes a challenging task to fulfil the food requirement of the present population. Precision agriculture also known as smart farming have emerged as an innovative tool to address current challenges in agricultural sustainability. The mechanism that drives this cutting edge technology is machine learning (ML). It gives the machine ability to learn without being explicitly programmed. In this paper, we presents a systematic review of ML applications in the field of agriculture for decision support system related to parameters management.

Reference
[1] Mukesh Kumar, Manoranjan Kumar and R.K. Chauhan, “A Review on Decision Support System for Water Resource Development and Management”, Indian J.Dryland Agric. Res. & Dev. 2011 26(1) : 8- 15 [2] Abhinav Sharma, Arpit Jain, Prateek Gupta, And Vinay Chowdary, “Machine Learning Applications for Precision Agriculture: A Comprehensive Review”, in IEEE Access, vol. 9, pp. 4843-4873, 2021, doi: 10.1109/ACCESS.2020.3048415. [3] Xiaoping Chen, Zhiming Qi, Dongwei Gui, Matthew W. Sima, Fanjiang Zeng, Lanhai Li, Xiangyi Li, Zhe Gu, “Evaluation of a new irrigation decision support system in improving cotton yield and water productivity in an arid climate”, Agricultural Water Management, Volume 234, 2020, 106139, ISSN 0378-3774, https://doi.org/10.1016/j.agwat.2020.106139. [4] L. F. Termite, A. Garinei, A. Marini, M. Marconi and L. Biondi, "Combining satellite data and Machine Learning techniques for irrigation Decision Support Systems," 2019 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor), 2019, pp. 291-296, doi: 10.1109/MetroAgriFor.2019.8909279. [5] Mohan Sridharan, Prasanna Gowda, “Application of statistical machine learning algorithms in precision agriculture”, 7th Asian-Australasian Conference on Precision Agriculture [6] Ms. Priyanka S Jawale, Mr. Mukesh Arora and Mrs. D.R. Vaidya, “Decision Support System for Irrigation Canals”, International Journal of Scientific & Engineering Research, Volume 7, Issue 9, September-2016 854 ISSN 2229-5518 [7] Dontrey Bourgeois, Suxia Cui, Pamela H. Obiomon, and Yonghui Wang, “Development of a Decision Support System for Precision Agriculture”, International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 IJERTV4IS100256 ww.ijert.org, Vol. 4 Issue 10, October-2015 [8] Ahmed Abdelmoamen Ahmed Suhib A Omari Ripendra Awal, Ali Fares Mohamed Chouikha, “A distributed system for supporting smart irrigation using Internet of Things technology”, Engineering Reports. 2021;e12352, https://doi.org/10.1002/eng2.12352 [9] Akhilesh Patel, Rakesh Sharda and Mukesh Siag, “Development of Decision Support System for OnFarm Irrigation Water Management”, Int. J. Pure App. Biosci. 5(3): 749-763 (2017). doi: http://dx.doi.org/10.18782/2320-7051.2561 [10]J. Treboux and D. Genoud, "Improved Machine Learning Methodology for High Precision Agriculture," 2018 Global Internet of Things Summit (GIoTS), 2018, pp. 1-6, doi: 10.1109/GIOTS.2018.8534558. [11]Z. Leng and H. Yimit, "Decision Support Systems for Improving Irrigation Scheme Management in Arid Area," 2009 First International Workshop on Education Technology and Computer Science, 2009, pp. 332-335, doi: 10.1109/ETCS.2009.601. [12]Bauer, Alan & Bostrom, Aaron & Ball, Joshua & Applegate, Christopher & Cheng, Tao & Laycock, Stephen & Rojas, Sergio & Kirwan, Jacob & Zhou, Ji. (2019). Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production. HORTICULTURE RESEARCH. 6. 10.1038/s41438-019-0151-5. [13]Kocian, Alexander; Incrocci, Luca. 2020. "Learning from Data to Optimize Control in Precision Farming" Stats 3, no. 3: 239-245. https://doi.org/10.3390/stats3030018 [14]Rachana P. Koli1, V. D. Jadhav, “Agriculture Decision Support System As Android Application”, International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 [15]Suntaranont, Benya; Aramkul, Somrawee; Kaewmoracharoen, Manop; Champrasert, Paskorn. 2020. "Water Irrigation Decision Support System for Practical Weir Adjustment Using Artificial Intelligence and Machine Learning Techniques" Sustainability 12, no. 5: 1763. https://doi.org/10.3390/su12051763
Keywords
— Decision Support System (DSS), Precision Agriculture, Machine Learning, Agriculture