ANN-Based Continual Classification in Agriculture
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- Andrzej Przybylak & Radosław Kozłowski & Ewa Osuch & Andrzej Osuch & Piotr Rybacki & Przemysław Przygodziński, 2020. "Quality Evaluation of Potato Tubers Using Neural Image Analysis Method," Agriculture, MDPI, vol. 10(4), pages 1-11, April.
- Jaime Grutzendler & Narayanan Kasthuri & Wen-Biao Gan, 2002. "Long-term dendritic spine stability in the adult cortex," Nature, Nature, vol. 420(6917), pages 812-816, December.
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- Alper Taner & Yeşim Benal Öztekin & Hüseyin Duran, 2021. "Performance Analysis of Deep Learning CNN Models for Variety Classification in Hazelnut," Sustainability, MDPI, vol. 13(12), pages 1-13, June.
- Tan Wang & Xianbao Xu & Cong Wang & Zhen Li & Daoliang Li, 2021. "From Smart Farming towards Unmanned Farms: A New Mode of Agricultural Production," Agriculture, MDPI, vol. 11(2), pages 1-26, February.
- Sebastian Kujawa & Gniewko Niedbała, 2021. "Artificial Neural Networks in Agriculture," Agriculture, MDPI, vol. 11(6), pages 1-6, May.
- Awe, Olushina Olawale & Dias, Ronaldo, 2022. "Comparative Analysis of ARIMA and Artificial Neural Network Techniques for Forecasting Non-Stationary Agricultural Output Time Series," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 14(4), December.
- Mohammad Amin Amani & Francesco Marinello, 2022. "A Deep Learning-Based Model to Reduce Costs and Increase Productivity in the Case of Small Datasets: A Case Study in Cotton Cultivation," Agriculture, MDPI, vol. 12(2), pages 1-13, February.
- Claudia C. Tusell-Rey & Oscar Camacho-Nieto & Cornelio Yáñez-Márquez & Yenny Villuendas-Rey & Ricardo Tejeida-Padilla & Carmen F. Rey Benguría, 2022. "A Priori Determining the Performance of the Customized Naïve Associative Classifier for Business Data Classification Based on Data Complexity Measures," Mathematics, MDPI, vol. 10(15), pages 1-19, August.
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similarity; metric; memory; deep learning;All these keywords.
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