| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A meta-analysis of factors driving the adoption of precision agriculture
|
Tey, Yeong Sheng
|
|
|
23 |
2 |
p. 353-372
|
artikel
|
| 2 |
Analysis of sampling precision in low-density weed populations
|
Hamouz, Pavel
|
|
|
23 |
2 |
p. 603-621
|
artikel
|
| 3 |
Applying colour-based feature extraction and transfer learning to develop a high throughput inference system for potato (Solanum tuberosum L.) stems with images from unmanned aerial vehicles after canopy consolidation
|
Mhango, Joseph K.
|
|
|
23 |
2 |
p. 643-669
|
artikel
|
| 4 |
Correction to: A meta-analysis of factors driving the adoption of precision agriculture
|
Tey, Yeong Sheng
|
|
|
23 |
2 |
p. 373-376
|
artikel
|
| 5 |
Correction to: Identifying crop yield gaps with site- and season-specific data-driven models of yield potential
|
Filippi, Patrick
|
|
|
23 |
2 |
p. 602
|
artikel
|
| 6 |
Delineating soil nutrient management zones based on optimal sampling interval in medium- and small-scale intensive farming systems
|
Yuan, Yifan
|
|
|
23 |
2 |
p. 538-558
|
artikel
|
| 7 |
Detecting the attack of the fall armyworm (Spodoptera frugiperda) in cotton plants with machine learning and spectral measurements
|
Ramos, Ana Paula Marques
|
|
|
23 |
2 |
p. 470-491
|
artikel
|
| 8 |
Field evaluations of a deep learning-based intelligent spraying robot with flow control for pear orchards
|
Seol, Jaehwi
|
|
|
23 |
2 |
p. 712-732
|
artikel
|
| 9 |
Fusion of the YOLOv4 network model and visual attention mechanism to detect low-quality young apples in a complex environment
|
Jiang, Mei
|
|
|
23 |
2 |
p. 559-577
|
artikel
|
| 10 |
Geographically weighted regression estimation of the linear response and plateau function
|
Lambert, Dayton M.
|
|
|
23 |
2 |
p. 377-399
|
artikel
|
| 11 |
German farmers’ intention to use autonomous field robots: a PLS-analysis
|
Rübcke von Veltheim, Friedrich
|
|
|
23 |
2 |
p. 670-697
|
artikel
|
| 12 |
Identifying crop yield gaps with site- and season-specific data-driven models of yield potential
|
Filippi, Patrick
|
|
|
23 |
2 |
p. 578-601
|
artikel
|
| 13 |
Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm
|
Shao, Mingchao
|
|
|
23 |
2 |
p. 400-418
|
artikel
|
| 14 |
RS-Net: robust segmentation of green overlapped apples
|
Jia, Weikuan
|
|
|
23 |
2 |
p. 492-513
|
artikel
|
| 15 |
Segmentation and motion parameter estimation for robotic Medjoul-date thinning
|
Shoshan, Tal
|
|
|
23 |
2 |
p. 514-537
|
artikel
|
| 16 |
Spatial patterns of magnetic susceptibility optimized by anisotropic correction in different Alisols in southern Amazonas, Brazil
|
Brito, Wildson Benedito Mendes
|
|
|
23 |
2 |
p. 419-449
|
artikel
|
| 17 |
The noise-reduction potential of Radar Vegetation Index for crop management in the Czech Republic
|
Tůma, Lukáš
|
|
|
23 |
2 |
p. 450-469
|
artikel
|
| 18 |
Using UAV-based hyperspectral imaging and functional regression to assist in predicting grain yield and related traits in wheat under heat-related stress environments for the purpose of stable yielding genotypes
|
Costa, Lucas
|
|
|
23 |
2 |
p. 622-642
|
artikel
|
| 19 |
Yield map generation of perennial crops for fresh consumption
|
Bazzi, Claudio Leones
|
|
|
23 |
2 |
p. 698-711
|
artikel
|
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