A Self-Predictable Crop Yield Platform (SCYP) Based On Crop Diseases Using Deep Learning
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- Joshua Sikhu Okonya & Walter Ocimati & Anastase Nduwayezu & Déo Kantungeko & Nicolas Niko & Guy Blomme & James Peter Legg & Jürgen Kroschel, 2019. "Farmer Reported Pest and Disease Impacts on Root, Tuber, and Banana Crops and Livelihoods in Rwanda and Burundi," Sustainability, MDPI, vol. 11(6), pages 1-20, March.
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- Siraj Osman Omer, 2021. "Application of Bayesian Networks of Genotype by Environment Interaction Evaluation Under Plant Disease, Soil Types and Climate Condition-using Bayesia Lab," Academic Journal of Applied Mathematical Sciences, Academic Research Publishing Group, vol. 7(3), pages 158-166, 07-2021.
- Mohsen Niazian & Gniewko Niedbała, 2020. "Machine Learning for Plant Breeding and Biotechnology," Agriculture, MDPI, vol. 10(10), pages 1-23, September.
- Chen, Chi-Hua & Song, Fangying & Hwang, Feng-Jang & Wu, Ling, 2020. "A probability density function generator based on neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
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Keywords
crop disease diagnosis; yield prediction; CNN; ANN; image preprocessing;All these keywords.
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