| _ | tea | _ |
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| Application of Multispectral Camera in Monitoring the Quality Parameters of Fresh | tea | Leaves |
| Applying Variable Selection Methods and Preprocessing Techniques to Hyperspectral Reflectance Data to Estimate | tea | Cultivar Chlorophyll Content |
| Assessment of Drought Stress in | tea | Estates Using Optical and Thermal Remote Sensing, An |
| Carotenoid Content Estimation in | tea | Leaves Using Noisy Reflectance Data |
| Coffee Trees, Trees as Crops, | tea | Trees |
| Ecosystem Service Synergies Promote Ecological | tea | Gardens: A Case Study in Fuzhou, China |
| Effects of UAV-LiDAR and Photogrammetric Point Density on | tea | Plucking Area Identification |
| Estimating Biochemical Parameters Of | tea | (camellia Sinensis (l.)) Using Hyperspectral Techniques |
| Fresh | tea | Shoot Maturity Estimation via Multispectral Imaging and Deep Label Distribution Learning |
| Fresh Yield Estimation of Spring | tea | via Spectral Differences in UAV Hyperspectral Images from Unpicked and Picked Canopies |
| Integrating an Expert System, GIS, and Satellite Remote Sensing to Evaluate Land Suitability for Sustainable | tea | Production in Bangladesh |
| Mapping | tea | Plantations from VHR Images Using OBIA and Convolutional Neural Networks |
| Mapping Threats of Spring Frost Damage to | tea | Plants Using Satellite-Based Minimum Temperature Estimation in China |
| Multi-Angle Detection of Spatial Differences in | tea | Physiological Parameters |
| Predicting foliar biochemistry of | tea | (Camellia sinensis) using reflectance spectra measured at powder, leaf and canopy levels |
| Spatiotemporal Hybrid Random Forest Model for | tea | Yield Prediction Using Satellite-Derived Variables |
| Spring Frost Damage to | tea | Plants Can Be Identified with Daily Minimum Air Temperatures Estimated by MODIS Land Surface Temperature Products |
| Studying Control of Selective Perception with T-World and | tea | |
| tea | Cultivation Suitability Evaluation and Driving Force Analysis Based on AHP and Geodetector Results: A Case Study of Yingde in Guangdong, China |
| tea | Sprouts Segmentation via Improved Deep Convolutional Encoder-Decoder Network |
| tea | : Temporal Excitation and Aggregation for Action Recognition |
| Using Multi-Temporal MODIS NDVI Data to Monitor | tea | Status and Forecast Yield: A Case Study at Tanuyen, Laichau, Vietnam |
| vision-based method for automatizing | tea | shoots detection, A |
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