| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves
|
Shin, Jaemyung
|
|
|
183 |
C |
p.
|
artikel
|
| 2 |
A framework for energy-efficient equine activity recognition with leg accelerometers
|
Eerdekens, Anniek
|
|
|
183 |
C |
p.
|
artikel
|
| 3 |
An automated method to quantify the composition of live pigs based on computed tomography segmentation using deep neural networks
|
Pan, Xiang
|
|
|
183 |
C |
p.
|
artikel
|
| 4 |
An automated zizania quality grading method based on deep classification model
|
Cao, Jingjun
|
|
|
183 |
C |
p.
|
artikel
|
| 5 |
Application of non-destructive sensors and big data analysis to predict physiological storage disorders and fruit firmness in ‘Braeburn’ apples
|
Osinenko, Pavel
|
|
|
183 |
C |
p.
|
artikel
|
| 6 |
A promising approach towards precise animal weight monitoring using convolutional neural networks
|
Meckbach, Cornelia
|
|
|
183 |
C |
p.
|
artikel
|
| 7 |
A study case of Dynamic Motion Primitives as a motion planning method to automate the work of forestry cranes
|
Hera, Pedro La
|
|
|
183 |
C |
p.
|
artikel
|
| 8 |
Automated in-field leaf-level hyperspectral imaging of corn plants using a Cartesian robotic platform
|
Chen, Ziling
|
|
|
183 |
C |
p.
|
artikel
|
| 9 |
Computational model and adjustment system of header height of soybean harvesters based on soil-machine system
|
Ni, Youliang
|
|
|
183 |
C |
p.
|
artikel
|
| 10 |
Detecting soybean leaf disease from synthetic image using multi-feature fusion faster R-CNN
|
Zhang, Keke
|
|
|
183 |
C |
p.
|
artikel
|
| 11 |
Detection, classification, and mapping of coffee fruits during harvest with computer vision
|
Bazame, Helizani Couto
|
|
|
183 |
C |
p.
|
artikel
|
| 12 |
Editorial Board
|
|
|
|
183 |
C |
p.
|
artikel
|
| 13 |
Effectiveness of using ultrasound readings to predict carcass traits and sensory quality in young bulls
|
Beriain, M.J.
|
|
|
183 |
C |
p.
|
artikel
|
| 14 |
Evaluation on risks of sustainable supply chain based on optimized BP neural networks in fresh grape industry
|
Jianying, Feng
|
|
|
183 |
C |
p.
|
artikel
|
| 15 |
Field detection of tiny pests from sticky trap images using deep learning in agricultural greenhouse
|
Li, Wenyong
|
|
|
183 |
C |
p.
|
artikel
|
| 16 |
Horse foraging behavior detection using sound recognition techniques and artificial intelligence
|
Nunes, Leon
|
|
|
183 |
C |
p.
|
artikel
|
| 17 |
Improved optical-type measurement method of grain flow using array near-infrared photoelectric sensors
|
Yin, Jianjun
|
|
|
183 |
C |
p.
|
artikel
|
| 18 |
In-situ classification of cattle behavior using accelerometry data
|
Arablouei, Reza
|
|
|
183 |
C |
p.
|
artikel
|
| 19 |
Potassium di-hydrogen phosphate identification based on wide energy X-ray absorption spectrum and an artificial neural network
|
Fang, Zheng
|
|
|
183 |
C |
p.
|
artikel
|
| 20 |
Sequential forward selection and support vector regression in comparison to LASSO regression for spring wheat yield prediction based on UAV imagery
|
Shafiee, Sahameh
|
|
|
183 |
C |
p.
|
artikel
|
| 21 |
Tea moisture content detection with multispectral and depth images
|
Wei, Yuzhen
|
|
|
183 |
C |
p.
|
artikel
|
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