Machine Learning-Based Analysis of Paddy Crop Conditions

QR Code

Machine Learning-Based Analysis of Paddy Crop Conditions

Malaysia, heavily reliant on rice as a staple food, faces challenges in ensuring sufficient supply due to the persistent issue of plant diseases affecting productivity. Despite being the 22nd largest rice producer in Asia, the country imports 30 to 40 percent of its annual consumption, totaling...

Full description

Bibliographic Details
Main Authors:	Teo, Xiao Hui, Lim, Shu Ting, Goh, Ching Pang
Format:	Article
Language:	English English
Published:	INTI International University 2023
Subjects:	QA76 Computer software T Technology (General)
Online Access:	http://eprints.intimal.edu.my/1834/ http://eprints.intimal.edu.my/1834/1/ij2023_66r.pdf http://eprints.intimal.edu.my/1834/2/131

Similar Items

Clustering Based on Customers’ Behaviour in Accepting Personal Loan using Unsupervised Machine Learning
by: Lim, Wai Ping, et al.
Published: (2023)

An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective
by: Liew, Chun Kin, et al.
Published: (2023)

An In-Depth Analysis of Text Clustering Techniques for Identifying Potential Insurance Customers on Social Media: A Machine Learning Perspective
by: Liew, Chun Kin, et al.
Published: (2023)

GIS-Enhanced Crop Yield Modeling with Machine Learning
by: Venkatesh, S.D., et al.
Published: (2024)

The Crop Price Prediction Using Machine Learning: Preliminary Stage
by: Ramya, T.K., et al.
Published: (2024)

Paddy Double Cropping in Ketara Irrigation Scheme: An Analysis of Cropping Schedule
by: Chong, Chee Han
Published: (1999)

Financial time series predicting using machine learning algorithms
by: Tiong, Leslie Ching Ow *
Published: (2013)

Text-based emotion prediction system using machine learning approach
by: Ahmad Fakhri, Ab. Nasir, et al.
Published: (2020)

Machine learning based route optimization for the travelling salesman problem with pickup and delivery
by: Ong, Zhi Ying
Published: (2023)

Plant stem disease detection using machine learning approaches
by: Md Akbar, Jalal Uddin, et al.
Published: (2023)

Malware detection system using cloud sandbox, machine learning
by: Mail, Mohd Azuwan Efendy, et al.
Published: (2022)

Forecasting Member Churn in Medical Insurance through Machine Learning Analysis
by: Chee, Wen Jet, et al.
Published: (2023)

Unsupervised Fertigation and Machine Learning for Crop Vegetation Parameter Analysis
by: Mohd Izzat, Mohd Rahman, et al.
Published: (2023)

Comparative study on job scheduling using priority rule and machine learning
by: Murad, Saydul Akbar, et al.
Published: (2021)

Dynamic ransomware detection for windows platform using machine learning classifiers
by: Jaya, M. Izham, et al.
Published: (2022)

The importance of data classification using machine learning methods in microarray data
by: Jaber, Aws Naser, et al.
Published: (2021)

Review and empirical analysis of machine learning-based software effort estimation
by: Rahman, Mizanur, et al.
Published: (2024)

Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis / Pang Ting
by: Pang , Ting
Published: (2022)

Study On Integrating A Multimedia Project Into The Constructivist Learning Environemnt And Its Implication On The Student Learning Process
by: Tai, Gillian Xiao Lian
Published: (2007)

Detection-criterion independent proof for digital watermark detection : a support vector machine approach
by: Then,, Patrick Hang Hui
Published: (2007)

Selidik kecekapan Google Suite dalam sistem pendidikan Malaysia
by: Shu , Collina Siew Ting
Published: (2020)

Detection of colon cancer based on microarray dataset using machine learning as a feature selection and classification techniques
by: A. S. M, Shafi, et al.
Published: (2020)

Prediction of international rice production using long short- term memory and machine learning models
by: Arya, Suraj, et al.
Published: (2025)

Support directional shifting vector: A direction based machine learning classifier
by: Kowsher, Md., et al.
Published: (2021)

Fingerprint based automatic teller machine
by: Steven, Arokiasamy
Published: (2018)

Phosphorus Changes In Intensive Cropping Paddy Soil Under Natural And Controlled Conditions From Mada, Kedah
by: Yusoff, Muhammad Izzuddin
Published: (2019)

Building An Ontology-Based Multilingual Lexicon For Word Sense Disambiguation In Machine Translation.
by: Lim, Lian-Tze, et al.
Published: (2004)

SPY-BOT: Machine learning-enabled post filtering for social network-integrated industrial internet of things
by: Rahman, Md. Arafatur, et al.
Published: (2021)

Effect of Percolation on the Water Use Efficiency of Paddy Crop
by: Jantan, Ramlee
Published: (1992)

Review on Deep Learning-Based Face Analysis
by: Talab, Mohammed Ahmed, et al.
Published: (2018)

A dual-watermarking with DR code against cropping and resizing attack
by: Lau, Wei Khang
Published: (2016)

Conditional statements
by: Shaikh, Asadullah, et al.
Published: (2011)

Advancing machine learning for identifying cardiovascular disease via granular computing
by: Ku Muhammad Naim, Ku Khalif, et al.
Published: (2024)

Evaluating deep transfer learning models for face mask detection
by: Goh, Pei Jin
Published: (2022)

Exploring Machine Learning in IoT Smart Home Automation
by: Waseem, Quadri, et al.
Published: (2023)

A Mobile Application Development for Recognising Unused Medical Equipment Using Deep Learning Models
by: Wong, Shi Ting
Published: (2021)

An empirical analysis of the adoption of m-learning in Malaysia
by: Chong, Alain Yee Loong, et al.
Published: (2011)

Hybrid biometric authentication for automatic teller machine
by: Arokiasamy, Steven R., et al.
Published: (2024)

Malware detection through machine learning techniques
by: Amer, Ahmed, et al.
Published: (2019)

Short term forecasting based on hybrid least squares support vector machines
by: Zuriani, Mustaffa, et al.
Published: (2018)