227 related articles for article (PubMed ID: 34917715)
1. FruitNet: Indian fruits image dataset with quality for machine learning applications.
Meshram V; Patil K
Data Brief; 2022 Feb; 40():107686. PubMed ID: 34917715
[TBL] [Abstract][Full Text] [Related]
2. Dataset of cannabis seeds for machine learning applications.
Chumchu P; Patil K
Data Brief; 2023 Apr; 47():108954. PubMed ID: 36798594
[TBL] [Abstract][Full Text] [Related]
3. VegNet: Dataset of vegetable quality images for machine learning applications.
Suryawanshi Y; Patil K; Chumchu P
Data Brief; 2022 Dec; 45():108657. PubMed ID: 36426086
[TBL] [Abstract][Full Text] [Related]
4. Image dataset of pomegranate fruits (
Kumar R A; Rajpurohit VS; Gaikwad NN
Data Brief; 2021 Aug; 37():107249. PubMed ID: 34307808
[TBL] [Abstract][Full Text] [Related]
5. A novel dataset of guava fruit for grading and classification.
Maitlo AK; Aziz A; Raza H; Abbas N
Data Brief; 2023 Aug; 49():109462. PubMed ID: 37577735
[TBL] [Abstract][Full Text] [Related]
6. A dataset of pomegranate growth stages for machine learning-based monitoring and analysis.
Zhao J; Almodfer R; Wu X; Wang X
Data Brief; 2023 Oct; 50():109468. PubMed ID: 37600594
[TBL] [Abstract][Full Text] [Related]
7. A comprehensive standardized dataset of numerous pomegranate fruit diseases for deep learning.
B P; R H
Data Brief; 2024 Jun; 54():110284. PubMed ID: 38962206
[TBL] [Abstract][Full Text] [Related]
8. An extensive dataset for successful recognition of fresh and rotten fruits.
Sultana N; Jahan M; Uddin MS
Data Brief; 2022 Oct; 44():108552. PubMed ID: 36111284
[TBL] [Abstract][Full Text] [Related]
9. DeepFruit: A dataset of fruit images for fruit classification and calories calculation.
Latif G; Mohammad N; Alghazo J
Data Brief; 2023 Oct; 50():109524. PubMed ID: 37732295
[TBL] [Abstract][Full Text] [Related]
10. Dry fruit image dataset for machine learning applications.
Meshram V; Choudhary C; Kale A; Rajput J; Meshram V; Dhumane A
Data Brief; 2023 Aug; 49():109325. PubMed ID: 37441626
[TBL] [Abstract][Full Text] [Related]
11. deepNIR: Datasets for Generating Synthetic NIR Images and Improved Fruit Detection System Using Deep Learning Techniques.
Sa I; Lim JY; Ahn HS; MacDonald B
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808218
[TBL] [Abstract][Full Text] [Related]
12. Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree.
Bresilla K; Perulli GD; Boini A; Morandi B; Corelli Grappadelli L; Manfrini L
Front Plant Sci; 2019; 10():611. PubMed ID: 31178875
[TBL] [Abstract][Full Text] [Related]
13. Improved Classification Approach for Fruits and Vegetables Freshness Based on Deep Learning.
Mukhiddinov M; Muminov A; Cho J
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365888
[TBL] [Abstract][Full Text] [Related]
14. A comprehensive guava leaves and fruits dataset for guava disease recognition.
Rajbongshi A; Sazzad S; Shakil R; Akter B; Sara U
Data Brief; 2022 Jun; 42():108174. PubMed ID: 35510266
[TBL] [Abstract][Full Text] [Related]
15. BananaLSD: A banana leaf images dataset for classification of banana leaf diseases using machine learning.
Arman SE; Bhuiyan MAB; Abdullah HM; Islam S; Chowdhury TT; Hossain MA
Data Brief; 2023 Oct; 50():109608. PubMed ID: 37823069
[TBL] [Abstract][Full Text] [Related]
16. Computer Vision System for Mango Fruit Defect Detection Using Deep Convolutional Neural Network.
Nithya R; Santhi B; Manikandan R; Rahimi M; Gandomi AH
Foods; 2022 Nov; 11(21):. PubMed ID: 36360096
[TBL] [Abstract][Full Text] [Related]
17. A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning.
Rauf HT; Saleem BA; Lali MIU; Khan MA; Sharif M; Bukhari SAC
Data Brief; 2019 Oct; 26():104340. PubMed ID: 31516936
[TBL] [Abstract][Full Text] [Related]
18. Dataset of road surface images with seasons for machine learning applications.
Bhutad S; Patil K
Data Brief; 2022 Jun; 42():108023. PubMed ID: 35313491
[TBL] [Abstract][Full Text] [Related]
19. Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation.
Dominguez Veiga JJ; O'Reilly M; Whelan D; Caulfield B; Ward TE
JMIR Mhealth Uhealth; 2017 Aug; 5(8):e115. PubMed ID: 28778851
[TBL] [Abstract][Full Text] [Related]
20. A Simple and Efficient Deep Learning-Based Framework for Automatic Fruit Recognition.
Hussain D; Hussain I; Ismail M; Alabrah A; Ullah SS; Alaghbari HM
Comput Intell Neurosci; 2022; 2022():6538117. PubMed ID: 35237311
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]