A review of different techniques utilized for-casting crop yield
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2018-03-19 https://doi.org/10.14419/ijet.v7i2.8.10422 -
Agriculture, Crop Analysis, Forecasting, Yield Prediction, Data Mining. -
Abstract
The farming structures the establishment of Indian economy. The harvest creation mainly depends on atmospheric conditions such as climate change, rain, soil etc., that impacts on yield improvement. The most of existing algorithms for crop yield prediction utilizes the existing data mining (DM) techniques for forecasting. This paper exhibits an overview on some of the existing techniques mostly used for crop yield prediction.
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References
[1] Mucherino, A., Papajorgji, P., & Pardalos, P. (2009), “Data mining in agriculture†(Vol. 34), Springer.
[2] Zaki, M J (1999), “Parallel and distributed association mining: A surveyâ€. IEEE concurrency, 7(4), 14-25.
[3] Beniwal, S. & Arora, J. (2012), “Classification and feature selection techniques in data miningâ€, International Journal of Engineering Research& Technology (IJERT), 1(6), 1-6.
[4] Lior Rokach, Oded Maimon, “Clustering Methodsâ€, Chap-15
[5] Xu, R & Wunsch, D (2005), “Survey of clustering algorithmsâ€, Neural Networks, IEEE Transactions on, 16(3), 645-678.
[6] Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996), “From data mining to knowledge discovery in databasesâ€. AI magazine, 17(3), 37.
[7] K. Verheyen, D. Adriaens, M. Hermy, and S. Deckers, “High resolution continuous soil classification using morphological soil profiledescriptionsâ€, Geoderma, vol. 101, pp. 31-48, 2001.
[8] Veenadhari, S. 2007, “Crop productivity mapping based on decision tree and Bayesian classificationâ€. Unpublished M.Tech Thesis submittedto Makhanlal Chaturvedi National University of Journalism and Communication, Bhopal.
[9] Sanjay D. Sawaitul, Prof. K.P. Wagh, Dr. P.N. Chatur, “Classification and Prediction of Future Weather by using Back Propagation Algorithm-An Approachâ€, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, Issue 1, January 2012, pp. 110-113.
[10] V.R.Thakare and H.M. Baradkar. “Fuzzy System forMaximum Yield from Cropsâ€, International Journal ofApplied Information Systems, pp. 4-9 , March 2013.
[11] Aditya Shastry , Sanjay H A and Madhura Hegde,†A Parameter based ANFIS Model for crop yield predictionâ€, 2015 IEEE,pp 253-257.
[12] Hemageetha, N., “A survey on application of data mining techniques to analyze the soil for agricultural purposeâ€, 3rd International Conference on Computing for Sustainable Global Development (INDIACom), pp.3112-3117, 2016.
[13] Niketa Gandhi, Owaiz Petkar, Leisa J. Armstrong,†PredictingRice Crop Yield Using Bayesian Networksâ€, ICACCI,IEEE 2016,pp 795-799.
[14] Umid Kumar Dey, Abdullah Hasan Masud, Mohammed Nazim Uddin, “Rice Yield Prediction Model Using Data Miningâ€, ECCE, IEEE 2017, pp 321-326.
[15] Ashwani Kumar Kushwaha, SwetaBhattachrya “ Crop yield prediction using Agro Algorithm in Hadoop†IRACST - International Journal of Computer Science and Information Technology & Security (IJCSITS), Vol. 5, No2, April 2015.
[16] Ankalaki, S., Chandra, N., Majumdar, J., “Applying Data Mining Approach and Regression Model to Forecast Annual Yield of Major Crops in Different District of Karnatakaâ€, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Special Issue 2, pp.25-29, 2016.
[17] Gayatri, M.K., Jayasakthi, J., Anandha Mala, G.S., “Providing Smart Agricultural Solutions to Farmers for better yielding using IoTâ€, IEEE Technological Innovation in ICT for Agriculture and Rural Development (TIAR), pp.40-43, 2015.
[18] Sellam,V., Poovammal, E., “Prediction of Crop Yield using Regression Analysisâ€, Indian Journal of Science and Technology, Vol. 9(38), pp.1-5, 2016.
[19] Naushina Farheen Imam Shaikh, Prof. R. V. Argiddi “Annual Crop Yield Prediction and Recommend Planting of Different Crops by Using Data Mining Technique†International Journal of Innovative Research in Computer and Communication Engineering Vol. 4, Issue 10, October 2016
[20] S. Poongodiand M. Rajesh Babu “ Prediction of Crop Production using Improved C4.5 with ANFIS Classifier†International Journal of Control Theory and Applications, Vol.10(21), pp-121-132,2017.
[21] D. Ramesh and B. V. Vardhan, “Data Mining Techniques and Applications to Agricultural Yield Dataâ€, International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 9, September 2013.
[22] Monali Paul, Santosh K. Vishwakarma, Ashok Verma “Analysis of Soil Behaviour and Prediction of Crop Yield using Data Mining Approach†International Conference on Computational Intelligence and Communication Networks , 2015.
[23] Harikishore Kakarla, Madhavi Latha M and Habibulla Khan, “Transition Optimization in Fault Free Memory Application Using Bus-Align Modeâ€, European Journal of Scientific Research, Vol.112, No.2, pp.237-245, ISSN: 1450-216x135/1450-202x, October 2013.
[24] T. Padmapriya and V. Saminadan, “Improving Throughput for Downlink Multi user MIMO-LTE Advanced Networks using SINR approximation and Hierarchical CSI feedbackâ€, International Journal of Mobile Design Network and Innovation- Inderscience Publisher, ISSN : 1744-2850 vol. 6, no.1, pp. 14-23, May 2015.
[25] S.V.Manikanthan and K.srividhya "An Android based secure access control using ARM and cloud computing", Published in: Electronics and Communication Systems (ICECS), 2015 2nd International Conference on 26-27Feb. 2015,Publisher:IEEE,DOI:10.1109/ECS.2015.7124833.
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How to Cite
Bhardwaj, P., & Singh, M. (2018). A review of different techniques utilized for-casting crop yield. International Journal of Engineering & Technology, 7(2.8), 268-270. https://doi.org/10.14419/ijet.v7i2.8.10422Received date: 2018-03-21
Accepted date: 2018-03-21
Published date: 2018-03-19