Early detection of drought stress in tomato from spectroscopic data: A novel convolutional neural network with feature selection
Author:
Funder
National Science and Technology Council
Publisher
Elsevier BV
Subject
Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry
Reference35 articles.
1. A 1D-SP-Net to determine early drought stress status of tomato (Solanum lycopersicum) with imbalanced Vis/NIR spectroscopy data;Tu;Agriculture,2022
2. Physiological responses of drought stress in tomato: a review;Jangid;IJAEB,2016
3. Quality analysis prediction and discriminating strawberry maturity with a hand-held Vis-NIR spectrometer;Saad;Food Anal. Methods,2022
4. Mining data from milk mid-infrared spectroscopy and animal characteristics to improve the prediction of dairy cow's liveweight using feature selection algorithms based on partial least squares and Elastic Net regressions;Zhang;Comput. Electron. Agric.,2021
5. Visible-NIR ‘point’ spectroscopy in postharvest fruit and vegetable assessment: the science behind three decades of commercial use;Walsh;Postharvest Biol. Technol.,2020
Cited by 3 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. Classification of tomato seedling chilling injury based on chlorophyll fluorescence imaging and DBO-BiLSTM;Frontiers in Plant Science;2024-09-09
2. A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features;Decision Analytics Journal;2024-03
3. Exploring Efficient Methods for Using Multiple Spectral Reflectance Indices to Establish a Prediction Model for Early Drought Stress Detection in Greenhouse Tomato;Horticulturae;2023-12-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3