NLCS - A novel coordinate system for spatial analysis on hyperspectral leaf images and an improved nitrogen index for soybean plants
Author:
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference29 articles.
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2. Cabrera-Bosquet, L., Molero, G., Stellacci, A., Bort, J., Nogués, S., Araus, J., 2011. NDVI as a potential tool for predicting biomass, plant nitrogen content and growth in wheat genotypes subjected to different water and nitrogen conditions. Cereal Res. Commun. 39:1 39, 147–159. https://doi.org/10.1556/CRC.39.2011.1.15.
3. Hyperspectral inversion of nitrogen content in maize leaves based on different dimensionality reduction algorithms;Cao;Computers and Electronics in Agriculture,2021
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1. A Vis/NIRS device for evaluating leaf nitrogen content using K-means algorithm and feature extraction methods;Computers and Electronics in Agriculture;2024-10
2. Incremental learning for crop growth parameters estimation and nitrogen diagnosis from hyperspectral data;Computers and Electronics in Agriculture;2023-12
3. Machine learning-based spectral and spatial analysis of hyper- and multi-spectral leaf images for Dutch elm disease detection and resistance screening;Artificial Intelligence in Agriculture;2023-12
4. Development of a Target-to-Sensor Mode Multispectral Imaging Device for High-Throughput and High-Precision Touch-Based Leaf-Scale Soybean Phenotyping;Sensors;2023-04-05
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