Editorial

1. Crop phenotyping studies with application to crop monitoring

Research Papers

1. Assessing canopy nitrogen and carbon content in maize by canopy spectral reflectance and uninformative variable elimination
2. Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks
3. Leaf pigment retrieval using the PROSAIL model:Influence of uncertainty in prior canopy-structure information
4. The continuous wavelet projections algorithm: A practical spectral-feature-mining approach for crop detection
5. Field estimation of maize plant height at jointing stage using an RGB-D camera
6. Quantifying the effects of stripe rust disease on wheat canopy spectrum based on eliminating non-physiological stresses
7. Estimation of spectral responses and chlorophyll based on growth stage effects explored by machine learning methods
8. Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies
9. Comparison of algorithms for monitoring wheat powdery mildew using multi-angular remote sensing data
10. An algorithm for automatic identification of multiple developmental stages of rice spikes based on improved Faster R-CNN
11. Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing
12. Should phenological information be applied to predict agronomic traits across growth stages of winter wheat?
13. Detecting winter canola (Brassica napus) phenological stages using an improved shape-model method based on time-series UAV spectral data
14. Evaluation of UAV-derived multimodal remote sensing data for biomass prediction and drought tolerance assessment in bioenergy sorghum
15. Estimation of transpiration coefficient and aboveground biomass in maize using time-series UAV multispectral imagery
16. Panicle-3D: A low-cost 3D-modeling method for rice panicles based on deep learning,shape from silhouette,and supervoxel clustering
17. Multichannel imaging for monitoring chemical composition and germination capacity of cowpea (Vigna unguiculata) seeds during development and maturation
18. SPM-IS: An auto-algorithm to acquire a mature soybean phenotype based on instance segmentation
19. A deep learning-integrated phenotyping pipeline for vascular bundle phenotypes and its application in evaluating sap flow in the maize stem
20. Evaluation of a deep-learning model for multispectral remote sensing of land use and crop classification
21. Function fitting for modeling seasonal normalized difference vegetation index time series and early forecasting of soybean yield
22. Stacked spectral feature space patch: An advanced spectral representation for precise crop classification based on convolutional neural network
23. Integrating remotely sensed water stress factor with a crop growth model for winter wheat yield estimation in the North China Plain during 2008-2018
24. Mapping rapeseed planting areas using an automatic phenology-and pixel-based algorithm (APPA) in Google Earth Engine
25. Changes and determining factors of crop evapotranspiration derived from satellite-based dual crop coefficients in North China Plain
26. Temporal sequence Object-based CNN (TS-OCNN) for crop classification from fine resolution remote sensing image time-series