The aim is to find accuracy in predicting the harvesting stages using Convolutional Neural Networks algorithm compared with a Decision Tree algorithm. This ...
Harvesting Period Prediction Based on Stages of Mango Ripening Using CNN over Decision Tree ; Sriram AdiVishnu ; V. Nagaraju ; K.K. Shantha Sundari.
The aim is to find accuracy in predicting the harvesting stages using Convolutional Neural Networks algorithm compared with a. Decision Tree algorithm. This ...
This study contains a total of 2 groups, the convolutional neural network algorithm is analysed in the group 1 (10 samples), and the Decision Tree in the group ...
Harvesting Period Prediction Based on Stages of Mango Ripening Using CNN over Decision Tree. https://doi.org/10.1109/iccr56254.2022.9996073.
Harvesting Period Prediction Based on Stages of Mango Ripening Using CNN over Decision Tree. Sriram AdiVishnu 1. ,. Nagaraju V 1. ,. K.K. Shantha Sundari 1.
The association rule based classification is imperative in the disease prediction owing to its high predictability. To deal with the sensitive data, we ...
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May 29, 2024 · This study introduced a specialized Meta-learning method for classifying mango crop images with limited data.
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A decision tree based approach for automatic detection of six different maturity stages in mango fruits; exhibiting 96% of accuracy is presented by Mim et al.
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Jan 4, 2023 · In this work, we propose a computer vision system that can automatically detect the ripeness of fruits using a deep learning technique.
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