| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learning-integrated phenotyping pipeline for vascular bundle phenotypes and its application in evaluating sap flow in the maize stem
|
Du, Jianjun
|
|
|
10 |
5 |
p. 1424-1434
|
artikel
|
| 2 |
An algorithm for automatic identification of multiple developmental stages of rice spikes based on improved Faster R-CNN
|
Zhang, Yuanqin
|
|
|
10 |
5 |
p. 1323-1333
|
artikel
|
| 3 |
Assessing canopy nitrogen and carbon content in maize by canopy spectral reflectance and uninformative variable elimination
|
Wang, Zhonglin
|
|
|
10 |
5 |
p. 1224-1238
|
artikel
|
| 4 |
Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks
|
Ao, Zurui
|
|
|
10 |
5 |
p. 1239-1250
|
artikel
|
| 5 |
Changes and determining factors of crop evapotranspiration derived from satellite-based dual crop coefficients in North China Plain
|
Tan, Qinghua
|
|
|
10 |
5 |
p. 1496-1506
|
artikel
|
| 6 |
Comparison of algorithms for monitoring wheat powdery mildew using multi-angular remote sensing data
|
Song, Li
|
|
|
10 |
5 |
p. 1312-1322
|
artikel
|
| 7 |
Crop phenotyping studies with application to crop monitoring
|
Jin, Xiuliang
|
|
|
10 |
5 |
p. 1221-1223
|
artikel
|
| 8 |
Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing
|
Li, Qing
|
|
|
10 |
5 |
p. 1334-1345
|
artikel
|
| 9 |
Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data
|
Zhang, Chao
|
|
|
10 |
5 |
p. 1353-1362
|
artikel
|
| 10 |
Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies
|
Li, Lei
|
|
|
10 |
5 |
p. 1303-1311
|
artikel
|
| 11 |
Editorial Board
|
|
|
|
10 |
5 |
p. ii
|
artikel
|
| 12 |
Estimation of spectral responses and chlorophyll based on growth stage effects explored by machine learning methods
|
Gao, Dehua
|
|
|
10 |
5 |
p. 1292-1302
|
artikel
|
| 13 |
Estimation of transpiration coefficient and aboveground biomass in maize using time-series UAV multispectral imagery
|
Shao, Guomin
|
|
|
10 |
5 |
p. 1376-1385
|
artikel
|
| 14 |
Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification
|
Wang, Lijun
|
|
|
10 |
5 |
p. 1435-1451
|
artikel
|
| 15 |
Evaluation of UAV-derived multimodal remote sensing data for biomass prediction and drought tolerance assessment in bioenergy sorghum
|
Li, Jiating
|
|
|
10 |
5 |
p. 1363-1375
|
artikel
|
| 16 |
Field estimation of maize plant height at jointing stage using an RGB-D camera
|
Qiu, Ruicheng
|
|
|
10 |
5 |
p. 1274-1283
|
artikel
|
| 17 |
Function fitting for modeling seasonal normalized difference vegetation index time series and early forecasting of soybean yield
|
Stepanov, Alexey
|
|
|
10 |
5 |
p. 1452-1459
|
artikel
|
| 18 |
Integrating remotely sensed water stress factor with a crop growth model for winter wheat yield estimation in the North China Plain during 2008–2018
|
Zhuo, Wen
|
|
|
10 |
5 |
p. 1470-1482
|
artikel
|
| 19 |
Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information
|
Sun, Jia
|
|
|
10 |
5 |
p. 1251-1263
|
artikel
|
| 20 |
Mapping rapeseed planting areas using an automatic phenology- and pixel-based algorithm (APPA) in Google Earth Engine
|
Han, Jichong
|
|
|
10 |
5 |
p. 1483-1495
|
artikel
|
| 21 |
Multichannel imaging for monitoring chemical composition and germination capacity of cowpea (Vigna unguiculata) seeds during development and maturation
|
ElMasry, Gamal
|
|
|
10 |
5 |
p. 1399-1411
|
artikel
|
| 22 |
Panicle-3D: A low-cost 3D-modeling method for rice panicles based on deep learning, shape from silhouette, and supervoxel clustering
|
Wu, Dan
|
|
|
10 |
5 |
p. 1386-1398
|
artikel
|
| 23 |
Quantifying the effects of stripe rust disease on wheat canopy spectrum based on eliminating non-physiological stresses
|
Jing, Xia
|
|
|
10 |
5 |
p. 1284-1291
|
artikel
|
| 24 |
Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?
|
Zhao, Yu
|
|
|
10 |
5 |
p. 1346-1352
|
artikel
|
| 25 |
SPM-IS: An auto-algorithm to acquire a mature soybean phenotype based on instance segmentation
|
Li, Shuai
|
|
|
10 |
5 |
p. 1412-1423
|
artikel
|
| 26 |
Stacked spectral feature space patch: An advanced spectral representation for precise crop classification based on convolutional neural network
|
Chen, Hui
|
|
|
10 |
5 |
p. 1460-1469
|
artikel
|
| 27 |
Temporal Sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series
|
Li, Huapeng
|
|
|
10 |
5 |
p. 1507-1516
|
artikel
|
| 28 |
The continuous wavelet projections algorithm: A practical spectral-feature-mining approach for crop detection
|
Zhao, Xiaohu
|
|
|
10 |
5 |
p. 1264-1273
|
artikel
|
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