EXPERT SYSTEM FOR DIAGNOSING TOMATO PESTS AND DISEASES USING FORWARD CHAINING METHOD

Authors

  • Aqilla Fadia Haya STIMIK ESQ JAKARTA
  • Hafizh Al Karim STIMIK ESQ JAKARTA
  • Muhammad Rizky Perdana STIMIK ESQ JAKARTA
  • Andika Sundawijaya STIMIK ESQ JAKARTA

DOI:

https://doi.org/10.55606/jurritek.v1i2.595

Keywords:

Expert System, Diagnoses Pert and Diseases, Tomato, Forward Chaining.

Abstract

Tomato (solanum lyco persicum) is a plant from the solanceae family, native to Central and South America, from Mexico and Peru. Tomatoes have a short life cycle and a height ranging from 1 to 3 meters. Currently, farmers often experience disturbances from pests and diseases of tomatoes due to a lack of knowledge. They do not know how to control it and to eliminate pests that reduce productivity. In identifying diseases in tomato plants we use the Forward Chaining method which is a description that starts from knowing the facts and then matching them with IF and IF-THEN rules. Diseases with a high prevalence in tomatoes are: fruit worms, earthworms, green aphids, white flies, fruit flies (bractrotera) and the diseases are: fusarium wilt, leaf spot disease, bacterial spot, fruit rot. This expert system application provides tomato disease information and disease diagnosis, including control solutions that can be used to reduce the risk of tomato crop damage

 

 

References

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Franz, A., Ngapiyatun, S., & Sulpiana. “Expert System for Tomato Plant Pest Diagnosis Using the Certainty Factor Method”. TEPIAN, 1(2), 67-73, 2020. https://doi.org/10.51967/tepian.v1i2.97

Liu J and Wang X. “Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network. Front”. Plant Sci. 11:898. 2020. doi: 10.3389/fpls.2020.00898

Putri, R., Morita, K. M., & Yusman, Y. “Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Mengetahui Kepribadian Seseorang”. INTECOMS: Journal of Information Technology and Computer Science, 3(1), 60-66. 2020. https://doi.org/https://doi.org/10.31539/intecoms.v3i1.1332

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Published

2022-10-22

How to Cite

Aqilla Fadia Haya, Hafizh Al Karim, Muhammad Rizky Perdana, & Andika Sundawijaya. (2022). EXPERT SYSTEM FOR DIAGNOSING TOMATO PESTS AND DISEASES USING FORWARD CHAINING METHOD. JURAL RISET RUMPUN ILMU TEKNIK, 1(2), 116–124. https://doi.org/10.55606/jurritek.v1i2.595

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