Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Email info@thesai.org
Website thesai.org
Follow Us
Contact Info
Email info@thesai.org
Follow Us
Research Article | Open Access |

Bitter Melon Crop Yield Prediction using Machine Learning Algorithm

Author 1: Marizel B. Villanueva Author 2: Ma. Louella M. Salenga
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 3 · Published 2018 · Cited by 40

DOI: https://doi.org/10.14569/IJACSA.2018.090301

Download PDF Cite Call for Papers

Abstract

This research paper aimed to determine the crop bearing capability of bitter melon or bitter gourd more commonly called “Ampalaya” in the Filipino language. Images of bitter melon leaves were gathered from Ampalaya farms and these were used as main data of the research. The leaves were classified as good and bad through their description. The research used Machine Learning Algorithm through Convolutional Neural Network. Training of data was through the capabilities of Keras, Tensor Flow and Python worked together. In conclusion, increasing number of images could enable a machine to learn the difference between a good and a bad Ampalaya plant when presented an image for prediction.

Keywords

Agriculture Artificial Intelligence Keras machine learning algorithm machine learning neural network convolutional neural network prediction Python tensor flow

How to Cite this Article

Villanueva, M. B., & Salenga, M. L. M. (2018). Bitter Melon Crop Yield Prediction using Machine Learning Algorithm. International Journal of Advanced Computer Science and Applications, 9(3). https://doi.org/10.14569/IJACSA.2018.090301

Villanueva, Marizel B., and Ma. Louella M. Salenga. "Bitter Melon Crop Yield Prediction using Machine Learning Algorithm." International Journal of Advanced Computer Science and Applications, vol. 9, no. 3, 2018, https://doi.org/10.14569/IJACSA.2018.090301.

@article{Villanueva2018,
  title     = {Bitter Melon Crop Yield Prediction using Machine Learning Algorithm},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {3},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Marizel B. Villanueva and Ma. Louella M. Salenga},
  doi       = {10.14569/IJACSA.2018.090301},
  url       = {https://doi.org/10.14569/IJACSA.2018.090301}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

Back to Issue
IJACSA Journal Cover

IJACSA