A5004275622- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- Soil and Land Suitability Analysis
- Spectroscopy and Chemometric Analyses
- Land Use and Ecosystem Services
- Climate change impacts on agriculture
- Leaf Properties and Growth Measurement
- Water Quality Monitoring and Analysis
- Evaluation Methods in Various Fields
- Plant responses to elevated CO2
- Environmental Changes in China
- Agricultural Innovations and Practices
- Economic and Environmental Valuation
- Remote Sensing and LiDAR Applications
- Regional Economic and Spatial Analysis
- Conservation, Biodiversity, and Resource Management
- Genetics and Plant Breeding
- Advanced Computational Techniques and Applications
- Greenhouse Technology and Climate Control
- Species Distribution and Climate Change
- Remote-Sensing Image Classification
Institute of Agricultural Resources and Regional Planning
2020-2024
Chinese Academy of Agricultural Sciences
2010-2024
Nanjing University of Information Science and Technology
2022-2024
Aboveground biomass (AGB) is an essential assessment of plant development and guiding agricultural production management in the field. Therefore, efficient accurate access to crop AGB information can provide a timely precise yield estimation, which strong evidence for securing food supply trade. In this study, spectral, texture, geometric, frequency-domain variables were extracted through multispectral imagery drones, each variable importance different dimensional parameter combinations was...
Abstract Background The accurate estimation of potato yield at regional scales is crucial for food security, precision agriculture, and agricultural sustainable development. Methods In this study, we developed a new method using multi-period relative vegetation indices (rVIs) leaf area index (rLAI) data to improve the accuracy based on weighted growth stage. Two experiments field greenhouse (water nitrogen fertilizer experiments) in 2018 were performed obtain spectra LAI whole stage potato....
Reserved arable lands in China is of great significance for rationally allocating crop planting structures, alleviating the pressure grain imports, and protecting food security. Owing to data acquisition limitations, obtaining spatial distribution reserved at large scales relatively rare, there little information on predicting suitability, production capacity, ecological effects cultivation lands. This study obtained by applying restrictive factors, used Food Agriculture Organisation United...
Shouyang County which partly locates on the Loess Plateau suffers severe soil and water erosion is characterized by ecological vulnerability semi-arid climate. Land suitability evaluation for tree crops very significant agricultural production in ecologically vulnerable regions of zone. The authors applied a up scaling approach to carry outland four local apple, pear, jujube hawthorn under traditional cultivation senario. was implemented land form hierarchy composed unit, facet site at three...
In China, a nation facing farmland scarcity, accurate mapping of winter fallow arable lands is crucial for enhancing crop rotation and land use efficiency. The Dynamic Threshold (DT) method commonly used in phenology studies often employs empirically set subjective thresholds. This approach tends to uniformly apply single threshold across diverse vegetation types geographical regions, neglecting the variations physiological traits spatial heterogeneity. study developed multitemporal...
Generic parameter calibration for crop growth models is a very important step in model use. However, studies of the effect sample size and sampling methods on validation genotypic parameters have seldom been conducted. Scientists commonly apply hold-out (HO) method, by default, to deal with samples practice In this paper, we applied hold-out, cross-validation (CA), bootstrapping (BS) different sizes analyze influence final results parameters. The showed that, (1) overall, CA BS performed...
Abstract Background: The accurate estimation of potato yield at regional scale is crucial for food security, precision agriculture and agricultural sustainable development. Methods: In this study, we developed a new method using multi-period relative vegetation indices (rVIs) leaf area index (rLAI) data to improve the accuracy based on weighted growth stage. Two experiments field greenhouse (water nitrogen fertilizer experiments) in 2018 were performed obtain spectra LAI whole stage potato....
Abstract Background The accurate estimation of potato yield at regional scale is crucial for food security, precision agriculture and agricultural sustainable development. Methods In this study, we developed a new method using multi-period relative vegetation indices (rVIs) LAI (rLAI) data to improve the accuracy based on weighted growth stage. Two experiments field greenhouse (water nitrogen fertilizer experiments) in 2018 were performed obtain spectra whole stage potato. Then was...