Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Enhancing Maize Seed Quality: Defect Detection using Google Net.
PaperId: :  22058
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 6 2023
DUI:    16.0415/IJARIIE-22058
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Taware Ranjit SuyashSVPM COE Malegoan Bk
Rajesh NaleSVPM COE Malegoan Bk
Mahale Sandip NavnitSVPM COE Malegoan Bk
Pharate Abhishek BhujangraoSVPM COE Malegoan Bk
Pawar Sanket MachindraSVPM COE Malegoan Bk

Abstract

Information Technology Engineering
Deep Learning Techniques, Google Net, Maize Seed Defect Detection, CNNs, Transfer Learning, Dataset Curation, Data Preprocessing, Model Adaptation, Seed Quality Control, Automated Defect Detection, Image Classification
This study explores the application of deep learning techniques, specifically Google Net, to detect maize seed defects. The research uses convolution neural networks (CNNs) and transfer learning to accurately identify and classify defects in maize seeds. The process begins with dataset curation and preprocessing, followed by the adaptation of the Google Net architecture. The model is trained, validated, and tested, providing insights into its efficacy. Maize, a staple crop worldwide, requires meticulous seed quality control to ensure optimal yield. Traditional methods of seed inspection are labor-intensive and susceptible to human error. Deep learning techniques offer a promising avenue for automating seed defect detection. Google Net, with its intricate architecture and remarkable feature extraction capabilities, emerges as a potent tool for accurate and efficient defect identification. The study collects a diverse dataset containing images of maize seeds with various defects, labeled to encompass fungal infections, physical damage, and discoloration. Data preprocessing involves resizing images and applying data augmentation techniques to enhance model generalization. The Google Net architecture, consisting of parallel convolution pathways and filters of varying sizes, excels in capturing intricate patterns and features. The model is initialized with pre-trained weights from Image Net, fine-tuned for the maize seed defect detection task, and customized for effective distinction between healthy seeds and those exhibiting defects. The model's efficacy is evaluated on an independent testing dataset, providing a comprehensive view of its defect detection capabilities. In conclusion, this study demonstrates the viability of using Google Net for maize seed defect detection, capitalizing on the strengths of CNNs and transfer learning. This technology offers an automated and efficient solution to seed quality control, contributing significantly to crop production and global food security.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, and Pawar Sanket Machindra. "Enhancing Maize Seed Quality: Defect Detection using Google Net." International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 6 2023 Page 743-746
MLA Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, and Pawar Sanket Machindra. "Enhancing Maize Seed Quality: Defect Detection using Google Net.." International Journal Of Advance Research And Innovative Ideas In Education 9.6(2023) : 743-746.
APA Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, & Pawar Sanket Machindra. (2023). Enhancing Maize Seed Quality: Defect Detection using Google Net.. International Journal Of Advance Research And Innovative Ideas In Education, 9(6), 743-746.
Chicago Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, and Pawar Sanket Machindra. "Enhancing Maize Seed Quality: Defect Detection using Google Net.." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 6 (2023) : 743-746.
Oxford Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, and Pawar Sanket Machindra. 'Enhancing Maize Seed Quality: Defect Detection using Google Net.', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, 2023, p. 743-746. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Enhancing_Maize_Seed_Quality__Defect_Detection_using_Google_Net__ijariie22058.pdf (Accessed : ).
Harvard Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, and Pawar Sanket Machindra. (2023) 'Enhancing Maize Seed Quality: Defect Detection using Google Net.', International Journal Of Advance Research And Innovative Ideas In Education, 9(6), pp. 743-746IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Enhancing_Maize_Seed_Quality__Defect_Detection_using_Google_Net__ijariie22058.pdf (Accessed : )
IEEE Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, and Pawar Sanket Machindra, "Enhancing Maize Seed Quality: Defect Detection using Google Net.," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 6, pp. 743-746, Nov-Dec 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Enhancing_Maize_Seed_Quality__Defect_Detection_using_Google_Net__ijariie22058.pdf [Accessed : ].
Turabian Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, and Pawar Sanket Machindra. "Enhancing Maize Seed Quality: Defect Detection using Google Net.." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 6 ().
Vancouver Taware Ranjit Suyash, Rajesh Nale, Mahale Sandip Navnit, Pharate Abhishek Bhujangrao, and Pawar Sanket Machindra. Enhancing Maize Seed Quality: Defect Detection using Google Net.. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(6) : 743-746. Available from: https://ijariie.com/AdminUploadPdf/Enhancing_Maize_Seed_Quality__Defect_Detection_using_Google_Net__ijariie22058.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
EFFECT OF PRE-READING ACTIVITIES TOWARD SECOND-YEAR STUDENTS’ READING COMPREHENSION AT THAI NGUYEN UNIVERSITY OF AGRICULTURE AND FORESTRY, VIETNAMAgriculture Nguyen Lan Huong Download
The Role of Legends in Folk Beliefs and Festivals in Hai PhongAgricultural SciencesLeng Thi Lan Download
USING GEOMETER’S SKETCHPAD SOFTWARE TO DESIGN LECTURES ON FINDING OPTIMAL SOLUTIONS FOR LINEAR OPTIMIZATION PROBLEMS TO ENHANCE THE APPREAL OF ADVANCED MATHEMATICS TEACHING AT UNVERSITIESAgriculture Vi Dieu Minh Download
TRADITIONAL KNOWLEDGE IN SUSTAINABLE AGRICULTURE: A REVIEW OF INDIGENOUS FARMING PRACTICES IN INDIABOTANYDr Arpana Sharma Download
EFFECT OF THE INCORPORATION OF HIGH QUANTITIES OF FRESH EARTHWORMS (Eisenia foetida) IN THE DIET ON THE MORPHOLOGICAL GROWTH OF LOCAL MALAGASY BREED CHICKENSAgricultural SciencesHacynicolas Finoana Arizo RANDRIAMANDRATONDRAKOTONIRINA Download
Development of Coffee Waste Utilization in Indonesia (A Review)AgrotechnologyHerlin Herliansah Download
INFLUENCE OF MARKET AVAILABILITY FACTORS ON THE ADOPTION OF SELECTED MODERN MARKETING PRACTICES AMONG MANGO PRODUCERS IN MAKUENI COUNTY, KENYAAgricultural ExtensionDennis Mong'are Ooga Download
Influence of Agricultural Extension Services on the Adoption of Selected Modern Marketing Practices among Mango Producers in Makueni County, KenyaAgricultural ExtensionDennis Mong'are Ooga Download
MILLETS AND AGRICULTURE OF INDIAAGRICULTUREPARITOSH V Download
GROWTH PERFORMANCE OF BROILERS FED WITH HOMEMADE DIET SUPPLEMENTED WITH MALUNGGAY (Moringa oleifera Lam) EXTRACTAgricultureRichard C. Maravillas Download
ADOPTION OF CLIMATE-SMART AGRICULTURAL PRACTICES BY CASSAVA FARMERS IN DELTA STATE NIGERIAAGRICULTURAL EXTENSIONAmafade Ughwe Goodluck Download
EFFECT OF SEED PRIMING OF GREEN SYNTHESIZED IRON OXIDE MAGNETIC NANOPARTICLES USING Salvinia molesta PLANT EXTRACT ON SEED GERMINATION AND SEEDLINGS GROWTH OF TOMATO (Solanum lycopersicum)BiotechnologyH.K.S. Madusanka Download
Enhancing Maize Seed Quality: Defect Detection using Google Net.Information Technology EngineeringTaware Ranjit Suyash Download
Expression of the srlI gene to improve salt tolerance in Escherichia coliagricultureAli Hussein Taher Alhilali Download
EVALUATING THE CURRENT STATE OF DOMESTIC WASTEWATER QUALITY OF SONG CONG GARMENT FACTORY AND THE AUXILIARY FACTORY – TNG INVESTMENT AND TRADING JOINT STOCK COMPANY, SONG CONG CITY, THAI NGUYEN PROVINCE, VIETNAMAgriculture and ForestryNguyen Duc Quynh Mai Download
12