| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accurate cotton diseases and pests detection in complex background based on an improved YOLOX model
|
Zhang, Yuanjia
|
|
|
203 |
C |
p.
|
artikel
|
| 2 |
Accurate fruit localisation using high resolution LiDAR-camera fusion and instance segmentation
|
Kang, Hanwen
|
|
|
203 |
C |
p.
|
artikel
|
| 3 |
A crop variety yield prediction system based on variety yield data compensation
|
Zhang, Qi
|
|
|
203 |
C |
p.
|
artikel
|
| 4 |
A deep learning method for individual arable field (IAF) extraction with cross-domain adversarial capability
|
Liu, Shuaijun
|
|
|
203 |
C |
p.
|
artikel
|
| 5 |
Agricultural tractor dynamics simulation research based on a driving simulator with real-time human-machine interaction
|
Zhao, Xiaoning
|
|
|
203 |
C |
p.
|
artikel
|
| 6 |
Analysis and experimental study on vibration response characteristics of mechanical harvesting of jujube
|
Zhuo, Peng
|
|
|
203 |
C |
p.
|
artikel
|
| 7 |
An improved DenseNet model to classify the damage caused by cotton aphid
|
Bao, Wenxia
|
|
|
203 |
C |
p.
|
artikel
|
| 8 |
An improved method for predicting soluble solids content in apples by heterogeneous transfer learning and near-infrared spectroscopy
|
Liu, Sanqing
|
|
|
203 |
C |
p.
|
artikel
|
| 9 |
A novel automatic detection method for abnormal behavior of single fish using image fusion
|
Li, Xin
|
|
|
203 |
C |
p.
|
artikel
|
| 10 |
A novel hybrid deep network for diagnosing water status in wheat crop using IoT-based multimodal data
|
Elsherbiny, Osama
|
|
|
203 |
C |
p.
|
artikel
|
| 11 |
An unmanned wetland paddy seeder with mechatronic seed metering mechanism for precise seeding
|
Hensh, Sujit
|
|
|
203 |
C |
p.
|
artikel
|
| 12 |
A prediction method for transport stress in meat sheep based on GA-BPNN
|
Ma, Ruiqin
|
|
|
203 |
C |
p.
|
artikel
|
| 13 |
A rapid prototyping method for crop models using the discrete element method
|
Li, Xiaoyu
|
|
|
203 |
C |
p.
|
artikel
|
| 14 |
Assessing kernel processing score of harvested corn silage in real-time using image analysis and machine learning
|
Rocha, Eduardo M.C.
|
|
|
203 |
C |
p.
|
artikel
|
| 15 |
Assessing the effect of soil to water ratios and sampling strategies on the prediction of EC and pH using pXRF and Vis-NIR spectra
|
Gozukara, Gafur
|
|
|
203 |
C |
p.
|
artikel
|
| 16 |
A very low-cost pulse-amplitude modulated chlorophyll fluorometer
|
Haidekker, Mark A.
|
|
|
203 |
C |
p.
|
artikel
|
| 17 |
Biometric facial identification using attention module optimized YOLOv4 for sheep
|
Zhang, Xiwen
|
|
|
203 |
C |
p.
|
artikel
|
| 18 |
Can information on past and near-future weather and field conditions predict the safest pesticide application day?
|
Vuaille, Jeanne
|
|
|
203 |
C |
p.
|
artikel
|
| 19 |
CBAM + ASFF-YOLOXs: An improved YOLOXs for guiding agronomic operation based on the identification of key growth stages of lettuce
|
Zhang, Pan
|
|
|
203 |
C |
p.
|
artikel
|
| 20 |
Crop type mapping using time-series Sentinel-2 imagery and U-Net in early growth periods in the Hetao irrigation district in China
|
Li, Guang
|
|
|
203 |
C |
p.
|
artikel
|
| 21 |
Detection of fusarium head blight in wheat under field conditions using a hyperspectral camera and machine learning
|
Almoujahed, Muhammad Baraa
|
|
|
203 |
C |
p.
|
artikel
|
| 22 |
Determination and interpretation of parameters of double-bud sugarcane model based on discrete element
|
Zhong, Jia-Qin
|
|
|
203 |
C |
p.
|
artikel
|
| 23 |
Editorial Board
|
|
|
|
203 |
C |
p.
|
artikel
|
| 24 |
Effect of leaves in the dynamic response of olive tree branches and their computational model
|
Sola-Guirado, Rafael R.
|
|
|
203 |
C |
p.
|
artikel
|
| 25 |
Element tests and simulation of effects of vertical pressure on compression and mildew of wheat
|
Liu, Chaosai
|
|
|
203 |
C |
p.
|
artikel
|
| 26 |
EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data
|
Graf, Lukas Valentin
|
|
|
203 |
C |
p.
|
artikel
|
| 27 |
Estimation of sugar content in sugar beet root based on UAV multi-sensor data
|
Wang, Qing
|
|
|
203 |
C |
p.
|
artikel
|
| 28 |
Fine-grained image classification of microscopic insect pest species: Western Flower thrips and Plague thrips
|
Amarathunga, Don Chathurika
|
|
|
203 |
C |
p.
|
artikel
|
| 29 |
Fine hyperspectral classification of rice varieties based on attention module 3D-2DCNN
|
Meng, Ying
|
|
|
203 |
C |
p.
|
artikel
|
| 30 |
How does a combination of numerical modeling, clustering, artificial intelligence, and evolutionary algorithms perform to predict regional groundwater levels?
|
Kayhomayoon, Zahra
|
|
|
203 |
C |
p.
|
artikel
|
| 31 |
Infrared spectroscopy investigation of fresh grapevine (Vitis vinifera) shoots, leaves, and berries using novel chemometric applications for viticultural data
|
van Wyngaard, Elizma
|
|
|
203 |
C |
p.
|
artikel
|
| 32 |
IoT-based urban agriculture container farm design and implementation for localized produce supply
|
He, Leilei
|
|
|
203 |
C |
p.
|
artikel
|
| 33 |
Leaf vein segmentation with self-supervision
|
Li, Lei
|
|
|
203 |
C |
p.
|
artikel
|
| 34 |
LFCNet: A lightweight fish counting model based on density map regression
|
Zhao, Yuanyang
|
|
|
203 |
C |
p.
|
artikel
|
| 35 |
Machine learning-based cloud computing improved wheat yield simulation in arid regions
|
Kheir, Ahmed M.S.
|
|
|
203 |
C |
p.
|
artikel
|
| 36 |
Maize tassel area dynamic monitoring based on near-ground and UAV RGB images by U-Net model
|
Yu, Xun
|
|
|
203 |
C |
p.
|
artikel
|
| 37 |
Modeling U.S. cattle movements until the cows come home: Who ships to whom and how many?
|
Sellman, Stefan
|
|
|
203 |
C |
p.
|
artikel
|
| 38 |
Multi-branch self-learning Vision Transformer (MSViT) for crop type mapping with Optical-SAR time-series
|
Li, Kaiyuan
|
|
|
203 |
C |
p.
|
artikel
|
| 39 |
Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds
|
Fang, Shundong
|
|
|
203 |
C |
p.
|
artikel
|
| 40 |
Multilevel thresholding for crop image segmentation based on recursive minimum cross entropy using a swarm-based technique
|
Kumar, Arun
|
|
|
203 |
C |
p.
|
artikel
|
| 41 |
NDVI/NDRE prediction from standard RGB aerial imagery using deep learning
|
Davidson, Corey
|
|
|
203 |
C |
p.
|
artikel
|
| 42 |
Next Generation Task Controller for agricultural Machinery using OPC Unified architecture
|
Siponen, Matti
|
|
|
203 |
C |
p.
|
artikel
|
| 43 |
Non-destructive quality assessment method for Korla fragrant pears based on electrical properties and adaptive neural-fuzzy inference system
|
Yu, Shihui
|
|
|
203 |
C |
p.
|
artikel
|
| 44 |
Patch-wise weed coarse segmentation mask from aerial imagery of sesame crop
|
Imran Moazzam, S.
|
|
|
203 |
C |
p.
|
artikel
|
| 45 |
Self-supervised transformer-based pre-training method using latent semantic masking auto-encoder for pest and disease classification
|
Liu, Honglin
|
|
|
203 |
C |
p.
|
artikel
|
| 46 |
Simulations of solar-induced chlorophyll fluorescence over crop canopies using the integrated APSIM model
|
Wang, Yakai
|
|
|
203 |
C |
p.
|
artikel
|
| 47 |
Site-specific nitrogen recommendations’ empirical algorithm for maize crop based on the fusion of soil and vegetation maps
|
Fassa, Virginia
|
|
|
203 |
C |
p.
|
artikel
|
| 48 |
Sorting recognition of taproots and stem bases of Panax notoginseng using multi-objective visual tracking algorithm
|
Xing, Kaizhe
|
|
|
203 |
C |
p.
|
artikel
|
| 49 |
Soybean disease identification using original field images and transfer learning with convolutional neural networks
|
Bevers, Noah
|
|
|
203 |
C |
p.
|
artikel
|
| 50 |
Spikelets detection of table grape before thinning based on improved YOLOV5s and Kmeans under the complex environment
|
Du, Wensheng
|
|
|
203 |
C |
p.
|
artikel
|
| 51 |
Unsupervised domain adaptation using transformers for sugarcane rows and gaps detection
|
dos Santos Ferreira, Alessandro
|
|
|
203 |
C |
p.
|
artikel
|
| 52 |
U3-YOLOXs: An improved YOLOXs for Uncommon Unregular Unbalance detection of the rape subhealth regions
|
Gong, Xinjing
|
|
|
203 |
C |
p.
|
artikel
|
| 53 |
Vision on the bog: Cranberry crop risk evaluation with deep learning
|
Akiva, Peri
|
|
|
203 |
C |
p.
|
artikel
|
| 54 |
Water quality parameter analysis model based on fish behavior
|
Sun, Longqing
|
|
|
203 |
C |
p.
|
artikel
|
| 55 |
Wheat spike localization and counting via hybrid UNet architectures
|
Zaji, Amirhossein
|
|
|
203 |
C |
p.
|
artikel
|
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