| 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
|
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