2022
DOI: 10.1007/978-981-16-8763-1_58
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A Smart Farming-Based Recommendation System Using Collaborative Machine Learning and Image Processing

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Cited by 7 publications
(1 citation statement)
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“…We compared KNN, XGBoost, random forest, as well as neural network-based picture augmentation methods in this article and discovered that XGBoost outperformed the other models. The developed model is accurate enough [27].…”
Section: Literature Reviewmentioning
confidence: 91%
“…We compared KNN, XGBoost, random forest, as well as neural network-based picture augmentation methods in this article and discovered that XGBoost outperformed the other models. The developed model is accurate enough [27].…”
Section: Literature Reviewmentioning
confidence: 91%