| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Aboveground wheat biomass estimation from a low-altitude UAV platform based on multimodal remote sensing data fusion with the introduction of terrain factors
|
Zhang, Shao-Hua
|
|
|
25 |
1 |
p. 119-145
|
artikel
|
| 2 |
Almost priceless: how internet access impacts U.S. farmer leaders’ precision agriculture technology perceptions
|
Greig, Jamie
|
|
|
25 |
1 |
p. 360-375
|
artikel
|
| 3 |
A new multispectral index for canopy nitrogen concentration applicable across growth stages in ryegrass and barley
|
Patel, Manish Kumar
|
|
|
25 |
1 |
p. 486-519
|
artikel
|
| 4 |
A novel approach for analysing environmental sustainability aspects of combine harvesters through telematics data. Part II: an IT tool for comparative analysis
|
Savickas, Dainius
|
|
|
25 |
1 |
p. 221-234
|
artikel
|
| 5 |
A novel approach for analysing environmental sustainability aspects of combine harvester through telematics data. Part I: evaluation and analysis of field tests
|
Savickas, Dainius
|
|
|
25 |
1 |
p. 100-118
|
artikel
|
| 6 |
A novel method for optimizing regional-scale management zones based on a sustainable environmental index
|
Li, Yue
|
|
|
25 |
1 |
p. 257-282
|
artikel
|
| 7 |
Autonomous paddy field puddling and leveling operations based on full-coverage path generation and tracking
|
Jeon, Chan-Woo
|
|
|
25 |
1 |
p. 235-256
|
artikel
|
| 8 |
Combining remote sensing, SPAD readings, and laboratory analysis for monitoring olive groves and olive oil quality
|
Guermazi, Emna
|
|
|
25 |
1 |
p. 65-82
|
artikel
|
| 9 |
Correction to: a novel method for optimizing regional-scale management zones based on a sustainable environmental index
|
Li, Yue
|
|
|
25 |
1 |
p. 283-284
|
artikel
|
| 10 |
Data-driven agriculture and sustainable farming: friends or foes?
|
Rozenstein, Offer
|
|
|
25 |
1 |
p. 520-531
|
artikel
|
| 11 |
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review
|
Hu, Kun
|
|
|
25 |
1 |
p. 1-29
|
artikel
|
| 12 |
Evolution of precision agricultural technologies: a patent network analysis
|
Tey, Yeong Sheng
|
|
|
25 |
1 |
p. 376-395
|
artikel
|
| 13 |
High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning
|
Oliveira, Raquel Alves
|
|
|
25 |
1 |
p. 186-220
|
artikel
|
| 14 |
Impact of potassium fertilisation on mobile proximal gamma-ray spectrometry: case study on a long-term field trial
|
Pätzold, Stefan
|
|
|
25 |
1 |
p. 532-542
|
artikel
|
| 15 |
Integration of ultrasonic and optical sensing systems to assess sugarcane biomass and N-uptake
|
Portz, G.
|
|
|
25 |
1 |
p. 83-99
|
artikel
|
| 16 |
Mapping fire blight cankers and autumn blooming in pear trees using Faster R-CNN
|
Linker, Raphael
|
|
|
25 |
1 |
p. 396-411
|
artikel
|
| 17 |
Olive yield monitor for small farms based on an instrumented trailer to collect big bags from the ground
|
Bayano-Tejero, Sergio
|
|
|
25 |
1 |
p. 412-429
|
artikel
|
| 18 |
Prediction of cotton yield based on soil texture, weather conditions and UAV imagery using deep learning
|
Feng, Aijing
|
|
|
25 |
1 |
p. 303-326
|
artikel
|
| 19 |
Prediction of pasture yield using machine learning-based optical sensing: a systematic review
|
Stumpe, Christoph
|
|
|
25 |
1 |
p. 430-459
|
artikel
|
| 20 |
Real-time cucurbit fruit detection in greenhouse using improved YOLO series algorithm
|
Lawal, Olarewaju Mubashiru
|
|
|
25 |
1 |
p. 347-359
|
artikel
|
| 21 |
Remote sensing of rice phenology and physiology via absorption coefficient derived from unmanned aerial vehicle imaging
|
Peng, Yi
|
|
|
25 |
1 |
p. 285-302
|
artikel
|
| 22 |
Spatial and dynamic distribution of Chrysoperla spp. and Leucoptera coffeella populations in coffee Coffea arabica L
|
da Silva, Brenda Karina Rodrigues
|
|
|
25 |
1 |
p. 327-346
|
artikel
|
| 23 |
Spatial variability mapping of indaziflam and metribuzin sorption–desorption for precision weed control
|
da Costa Lima, Alessandro
|
|
|
25 |
1 |
p. 30-50
|
artikel
|
| 24 |
Sweet corn yield prediction using machine learning models and field-level data
|
Dhaliwal, Daljeet S.
|
|
|
25 |
1 |
p. 51-64
|
artikel
|
| 25 |
WeedsNet: a dual attention network with RGB-D image for weed detection in natural wheat field
|
Xu, Ke
|
|
|
25 |
1 |
p. 460-485
|
artikel
|
| 26 |
Who is responsible for ‘responsible AI’?: Navigating challenges to build trust in AI agriculture and food system technology
|
Alexander, Carrie S.
|
|
|
25 |
1 |
p. 146-185
|
artikel
|
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