Yield modeling of snap bean based on hyperspectral sensing: a greenhouse study
Author:
Affiliation:
1. Rochester Institute of Technology, Chester F. Carlson Center for Imaging Science, Rochester, New Yor
2. Cornell University, Cornell AgriTech at The New York State Agricultural Experiment Station, School o
Funder
National Science Foundation
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Hyperspectral estimation of maize (Zea mays L.) yield loss under lodging stress;Field Crops Research;2023-10
2. Forecasting Table Beet Root Yield Using Spectral and Textural Features from Hyperspectral UAS Imagery;Remote Sensing;2023-01-31
3. Application of automated image colour analyses for the early-prediction of strawberry development and quality.;Scientia Horticulturae;2022-10
4. Rice Yield Estimation Based on Continuous Wavelet Transform With Multiple Growth Periods;Frontiers in Plant Science;2022-07-01
5. Evaluation of Leaf Area Index (LAI) of Broadacre Crops Using UAS-Based LiDAR Point Clouds and Multispectral Imagery;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2022
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