A WeChat Mini Program for plant phenotyping fieldwork: leaf-angle and land-area measurement, site weather, image analysis, AI-assisted charting and data management in one mobile toolkit.
A web application and batch pipeline that removes plant-image backgrounds without task-specific training, using a multimodal image model with a structured prompt, aspect-ratio matching and file-signature format detection.
A desktop platform that processes hyperspectral, LiDAR, RGB and thermal phenotyping data with one interface, interactive parameter tuning, batch processing and structured exports.
A measuring and analysis framework that predicts leaf BRDF parameters from phenotypic traits in four species, combining directional spectroscopy, Cook–Torrance fitting, ensemble learning and canopy ray tracing (Plant Phenomics, 2025).
A practical path from a local Ollama assistant to retrieval and controlled tool use, with explicit privacy, security, versioning, and deployment boundaries.
A local OpenCV method that segments separated plant samples on a uniform background and measures size, shape and colour in calibrated units, with an overlay for every image.
A concise, publisher-neutral guide to journal selection, manuscript preparation, submission, peer review, publication status, research integrity, and post-publication maintenance.
Generating 3D cotton plants from single photographs with 3D generative AI and evaluating them organ by organ against multi-view SfM reconstructions of the same plants.
A UAV workflow for plot-level 3D crop phenotyping: Cross-Circular Oblique flight design, SfM reconstruction, canopy point-cloud processing with CanopyPC, and machine-learning models of crop traits.
