Detection of abnormal hydroponic lettuce leaves based on image processing and machine learning-Reference-Cited by-同舟云学术

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Detection of abnormal hydroponic lettuce leaves based on image processing and machine learning

Published:2021-11 Issue: Volume: Page:
ISSN:2214-3173
Container-title:Information Processing in Agriculture
language:en
Short-container-title:Information Processing in Agriculture

Author:

Yang Ruizhe,Wu Zhenchao,Fang Wentai,Zhang Hongliang,Wang Wenqi,Fu Longsheng,Majeed Yaqoob,Li Rui,Cui Yongjie

Publisher

Elsevier BV

Subject

Computer Science Applications,Agronomy and Crop Science,Animal Science and Zoology,Aquatic Science,Forestry

Reference37 articles.

1. Eshkabilov S, Lee A, Sun X, Lee CW, Simsek H. Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars. Comput Electron Agric 2021;181:105968. 10.1016/j.compag.2020.105968.

2. Nutritional value, bioactive compounds and health benefits of lettuce (Lactuca sativa L.);Kim;J Food Compos Anal,2016

3. Discrimination of pesticide residues in lettuce based on chemical molecular structure coupled with wavelet transform and near infrared hyperspectra;Sun;J Food Process Eng,2017

4. Hydroponics as an advanced technique for vegetable production: An overview;Sharma;J Soil Water Conserv,2018

5. Evaluation of lettuce germplasm resistance to gray mold disease for organic cultivations;Shim;Plant Pathol J,2014

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