Assessment of rice crop yield prediction models based on big data analytics to support decision-making processes in the agricultural sector of Thailand (Record no. 9315)

MARC details
000 -LEADER
fixed length control field 04042nas a2200481 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817163633.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210126s2020 th uu m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b12362219
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Diss. no.ICT-20-02
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Sumanya Ngandee
245 10 - TITLE STATEMENT
Title Assessment of rice crop yield prediction models based on big data analytics to support decision-making processes in the agricultural sector of Thailand
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 95 leaves :
Other physical details ill. +1 online resource
490 1# - SERIES STATEMENT
Series statement Dissertation ;
Volume/sequential designation no. ICT-20-02
500 ## - GENERAL NOTE
General note A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Information and Communications Technologies, School of Engineering and Technology
502 ## - DISSERTATION NOTE
Dissertation note Thesis (Ph.D.) - Asian Institute of Technology, 2020
520 ## - SUMMARY, ETC.
Summary, etc. In this dissertation rice yield prediction models based on historical datasets (1989-2017) for the main type of in-season rice cultivated in Thailand was studied. Models were generated using the following Machine Learning (ML) algorithms: Generalized Linear Model (GLM), Feed-Forward Neural Network (FFNN), Support Vector Machine (SVM), and Random Forest (RF). The prediction models were evaluated using Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and R 2 statistic. The results show that the FFNN outperforms the other models for rice yield prediction accuracy. In addition, the results are shown to be better than the existing prediction techniques including Linear Regression (LR), the k-Nearest Neighbor algorithm (kNN), Naive Bayes (NB), J48 a decision tree, RF, SVM, and Artificial Neural Network (ANN). The results confirm that the FFNN, a.k.a., Multi-Layered Perceptron (MLP), which is a deep neural network, can simultaneously account for complex nonlinear relationships in high-dimensional datasets. While the Big-O complexity and the execution runtime for training of the FFNN exceed the other models, its execution of predictions takes the least execution runtime. The practical implication of this study is to improve the quality of agricultural information dissemination services to farmers, wholesalers, retailers, middlemen, processors, financial institutions, policy makers, and the general public for the development of Thailand{u2019}s agricultural sector, rice supply chains and the economy as a whole.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data
General subdivision Analysis
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Decision Making Agriculture
Geographic subdivision Thailand
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Crop yields
Geographic subdivision Thailand
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Attaphongse Taparugssanagorn,
Relator term Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Chutiporn Anutariya,
Relator term Examination committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kuwornu, John K.M.,
Relator term Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Ministry of Agriculture and Cooperatives (MOAC) Thailand ,
Relator term Scholarship donor
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology Fellowship,
Relator term Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Asian Institute of Technology.
Title of a work Dissertations ;
Volume/sequential designation no. ICT-20-02
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href="http://203.159.5.9/ait-thesis/detail.php?q=B11249">http://203.159.5.9/ait-thesis/detail.php?q=B11249</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b12362219
b mnait
c m
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 240418
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 210126
First date, FD (RLIN) m
-- a
-- m
-- 0
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 67-Electronic Resource
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 20-AIT Publication
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120888309
CREATED CREATED : 2021-01-14
RECORD Id RECORD # : i13317416
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
909 ## - LOCAL ITEMS USED
Barcode Barcode : -
CREATED CREATED : 2021-01-14
RECORD Id RECORD # : i13317428
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050121029192
CREATED CREATED : 2022-09-21
RECORD Id RECORD # : i13401336
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050121029184
CREATED CREATED : 2022-09-21
RECORD Id RECORD # : i13401348
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type Cost, normal purchase price
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT Diss. no.ICT-20-02 30050120888309 17/08/2026 1 17/08/2026 40-Archives  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026   AIT Diss. no.ICT-20-02   17/08/2026   17/08/2026 67-Electronic Resource  
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026   AIT Diss. no.ICT-20-02 30050121029192 17/08/2026 1 17/08/2026 20-AIT Publication 50.00
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library AIT Publications 17/08/2026   AIT Diss. no.ICT-20-02 30050121029184 17/08/2026 2 17/08/2026 20-AIT Publication 50.00
คัดลอกแล้ว!

AIT

Knowledge & Information Services Solution

Asian Institute of Technology Library

Tel: +66 2 5245851

ผู้เข้าชม: 0