nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A new approach to learning and recognizing leaf diseases from individual lesions using convolutional neural networks
|
Ngugi, Lawrence C. |
|
|
10 |
1 |
p. 11-27 |
artikel |
2 |
Classification of weed seeds based on visual images and deep learning
|
Luo, Tongyun |
|
|
10 |
1 |
p. 40-51 |
artikel |
3 |
Detection of abnormal hydroponic lettuce leaves based on image processing and machine learning
|
Yang, Ruizhe |
|
|
10 |
1 |
p. 1-10 |
artikel |
4 |
Editorial Board
|
|
|
|
10 |
1 |
p. IFC |
artikel |
5 |
Non-invasive sensing techniques to phenotype multiple apple tree architectures
|
Zhang, Chongyuan |
|
|
10 |
1 |
p. 136-147 |
artikel |
6 |
Performance evaluation of IoT-based service system for monitoring nutritional deficiencies in plants
|
Andrianto, Heri |
|
|
10 |
1 |
p. 52-70 |
artikel |
7 |
Plant trait estimation and classification studies in plant phenotyping using machine vision – A review
|
Kolhar, Shrikrishna |
|
|
10 |
1 |
p. 114-135 |
artikel |
8 |
Prognosis of forest production using machine learning techniques
|
Pereira Martins Silva, Jeferson |
|
|
10 |
1 |
p. 71-84 |
artikel |
9 |
Research and application on corn crop identification and positioning method based on Machine vision
|
Xu, Bingrui |
|
|
10 |
1 |
p. 106-113 |
artikel |
10 |
Texture-based latent space disentanglement for enhancement of a training dataset for ANN-based classification of fruit and vegetables
|
Hameed, Khurram |
|
|
10 |
1 |
p. 85-105 |
artikel |
11 |
The effect of drying of Piper hispidinervium by different methods and its influence on the yield of essential oil and safrole
|
Miyagawa, Helder Kiyoshi |
|
|
10 |
1 |
p. 28-39 |
artikel |