封面图片

Comparison of algorithm Support Vector Machine and C4.5 for identification of pests and diseases in chili plants

Data from the Central Bureau of Statistics of the population working in the agricultural sector continued to decline from 39.22 million in 2013 to 38.97 million in 2014, the number dropped back to 37.75 million in 2015. According to the MIT G-Lab Team (global entrepreneurship program) concludes five...

Saved in:

书目详细资料
Main Authors:	M, Irfan, N, Lukman, A. A, Alfauzi, J, Jumadi
格式:	Conference or Workshop Item
语言:	English
出版:	2019
主题:	TA Engineering (General). Civil engineering (General)
在线阅读:	http://ur.aeu.edu.my/698/1/Comparison%20of%20algorithm%20Support%20Vector%20Machine_J._Phys.__Conf._Ser._1402_066104-2-10.pdf http://ur.aeu.edu.my/698/
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Integrated analysis of machine learning and deep learning in chili pest and disease identification
由: Ahmad Loti, Nurul Nabilah, et al.
出版: (2021)

Machine learning for plant disease detection: an investigative comparison between support vector machine and deep learning
由: Muhammad Abdu, Aliyu, et al.
出版: (2020)

Diversity of insect and mite species in chili ecosystem: relationship of the major pests with predator and plant damage
由: Nasrin, Mahbuba, et al.
出版: (2021)

Chili disease system (CDS)
由: Nur Syahkina, Sahabe Marubi
出版: (2012)

Plant Disease Detection for Tomato/Chili Leaves using Image Processing and Machine Learning
由: Suching, Herrent Elven
出版: (2024)

Comparison of support vector machine and friis equation for identification of pallet-level tagging using RFID signal
由: Ahmad Fakhri, Ab. Nasir, et al.
出版: (2020)

Decision support platform for production of chili using IoT, cloud computing, and machine learning approach
由: Elijah, Olakunle, et al.
出版: (2022)

Fault identification in an unbalanced distribution system using support vector machine
由: Gururajapathy, S.S., et al.
出版: (2016)

Development of integrated pest management package for chilli pests and diseases
由: Hussein, Mohd Yusof, et al.
出版: (1999)

Identification of instabilities of the chip formation and it’s prediction model during end milling of medium carbon steel (S45C)
由: Patwari, Muhammed Anayet Ullah, et al.
出版: (2010)

Breeding for Anthracnose disease resistance in chili: progress and prospects
由: Yusop, Mohd Rafii, et al.
出版: (2018)

Fault identification in power transformers using dissolve gas analysis and support vector machine
由: Illias, Hazlee Azil, et al.

Identification of vessel anomaly behavior using support vector machines and Bayesian networks
由: Dwi Handayani, Dini Oktarina, et al.
出版: (2014)

Deep learning detector for pests and plant disease recognition
由: Ileladewa, Oluwatimilehin Adekunle
出版: (2020)

Web based expert system for diagnosing disease pest on banana plant
由: Budiyanto G., et al.
出版: (2023)

Chip formation and coefficient of friction in turning S45C medium carbon steel
由: A. Raof, Natasha, et al.
出版: (2014)

Classification of urinary dielectric properties for diabetes and kidney disease using support vector machine
由: Peck, S.M., et al.
出版: (2016)

Dried chili seeds separator machine
由: Husin, Mohd Asri, et al.
出版: (2017)

Disease and pest problems of cashew in Malaysia
由: Lim, T.K, et al.
出版: (1979)

Pests and diseases of Ficus sp. in Malaysia
由: Ahmad Azmi, Nur Sabrina, et al.
出版: (2021)

Feasibility study on plant chili disease detection using image processing techniques
由: Zulkifli, Husin, et al.
出版: (2013)

Gender identification using support vector machines
由: Nur Ayuni Binti Jalaluddin
出版: (2023)

Plant disease identification using autoencoder
由: Ong, Janice Aun Nee
出版: (2021)

Paddy disease identification and vector control system (PADICS)
由: Yusnani, Yusuf
出版: (2011)

An Improved C4.5 Data Mining Driven Algorithm for the Diagnosis of Coronary Artery Disease
由: Haruna, A.A., et al.
出版: (2019)

Predictive modelling of machining parameters of S45C mild steel
由: Abbas, Adnan Jameel
出版: (2016)

Decision support system for determining chili plant using fuzzy multiple attribute decision making
由: Sari N.Y., et al.
出版: (2023)

Scorching chilies
由: Ab. Karim, Muhammad Shahrim, et al.
出版: (2012)

Unionized Acetate Degradation at 45ºC Anaerobic Digestion: Kinetics and Inhibition
由: Mohd, Nuruol Syuhadaa, et al.
出版: (2018)

Classification of degraded polymer insulator using support vector machine
由: Din, A., et al.
出版: (2021)

Management of collar rot disease in chili by farmyard manure and commercial biofertilizers
由: Sana, Nighat, et al.
出版: (2017)

Overview of support vector machine in modeling machining performances
由: Mat Deris, A., et al.
出版: (2011)

Genetic engineering for cocoa plant improvement for pest and disease resistance and quality
由: Muse, Radzali, et al.
出版: (1999)

Campus hybrid intrusion detection system using SNORT and C4.5 Algorithm
由: Slamet, ., et al.
出版: (2020)

Starfruit classification using support vector method
由: Lim, Wei Ming
出版: (2010)

Study on leave image processing with application in herbal classification and early detection of chili plant disease
由: Zulkifli, Husin
出版: (2016)

Technical efficiency of chili production
由: A. S. M. Anwarul Huq,, et al.
出版: (2010)

Expert system for the management of the pests and diseases of oil palm
由: Chong, Swee Seen, et al.
出版: (2008)

The spatial epidemiology of jackfruit pest and diseases: a review
由: Md. Sabtu, Norraisha, et al.
出版: (2019)

Identification of Peptide Inhibitors of Enveloped Viruses Using Support Vector Machine
由: Xu, Y., et al.
出版: (2015)