Wheat crop yield prediction using new activation functions in neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-020-04797-8.pdf
Reference17 articles.
1. Aditya Shastry K, Sanjay HA, Deshmukh A (2016) A parameter based customized artificial neural network model for crop yield prediction. J Artif Intell 9(1–3):23–32. https://doi.org/10.3923/jai.2016.23.32
2. Bhojani SH, Bhatt N (2018) Wheat crop yield forecasting using WEKA time series data mining technique. Int J Sci Res Comput Sci Appl Manag Stud 7(5):2–3
3. Muradkhanli L (2018) Neural networks for prediction of oil production. ELSEVIER IFAC Papers OnLine 51(30):415–417
4. Stastny J, Konecny V, Trenz O (2011) Agricultural data prediction by means of neural network. Agric Econ Czech 57(7):356–361
5. Paswan RP, Begum SA, Neog B (2018) Comparison of abilities of different activation functions of artificial neural network to predict crop area and crop production. Int J Pure Appl Biosci 6(6):212–220. https://doi.org/10.18782/2320-7051.7145
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