Application of Ensemble Machine Learning Techniques in Yield Predictions of Major and Commercial Crops
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2100-3_35
Reference27 articles.
1. Majumdar J, Naraseeyappa S, Ankalaki S (2017) Analysis of agriculture data using data mining techniques: application of big data. J Big Data 4(1):1–15
2. Sujatha R, Isakki P (2016) A study on crop yield forecasting using classification techniques. In: 2016 international conference on computing technologies and intelligent data engineering (ICCTIDE'16). IEEE, Kovilpatti, India, pp 1–4
3. Safa M, Samarasinghe S (2011) Determination and modelling of energy consumption in wheat production using neural networks: “a case study in Canterbury province, New Zealand.” Energy 36(8):5140–5147
4. Bhojani SH, Bhatt N (2020) Wheat crop yield prediction using new activation functions in neural network. Neural Comput Appl 32(17):13941–13951
5. Niedbała G, Kozlowski JR (2019) Application of artificial neural networks for multi-criteria yield prediction of winter wheat. J Agric Sci Technol 21(1):51–61
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