Lettuce Leaf Disease Protection and Detection Using Image Processing Technique-Reference-Cited by-同舟云学术

Lettuce Leaf Disease Protection and Detection Using Image Processing Technique

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM)
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Author:

Nafil Kalid¹,Saufi Aziza²,Hdili Ouafae²,Faqihi Sara²,Maghraoui Halima²,Kobbane Abdellatif¹,Koutbi Mohammed El³

Affiliation:

1. Mohammed V University in Rabat,Morocco

2. Mohammed V University in Rabat,ENSIAS,Morocco

3. GENIUS LAB, SupMTI,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10322877/10322879/10323013.pdf?arnumber=10323013

Reference22 articles.

1. Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production

2. Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets

3. Using Machine Learning Models to Predict Hydroponically Grown Lettuce Yield

4. A feature extraction approach based on Hough transform to estimate growth responses of leaf lettuce;chang;2019 ASABE Annual International Meeting,2019

5. A Comparative Analysis of Machine Learning Algorithms Modeled from Machine Vision-Based Lettuce Growth Stage Classification in Smart Aquaponics

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