Hybrid Adaptive Multiple Intelligence System (HybridAMIS) for classifying cannabis leaf diseases using deep learning ensembles-Reference-Cited by-同舟云学术

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Hybrid Adaptive Multiple Intelligence System (HybridAMIS) for classifying cannabis leaf diseases using deep learning ensembles

Published:2024-12 Issue: Volume:9 Page:100535
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Sriprateep Keartisak,Khonjun Surajet^ORCID,Pitakaso Rapeepan^ORCID,Srichok Thanatkij^ORCID,Sala-Ngam Sarinya^ORCID,Srithep Yottha^ORCID,Gonwirat Sarayut^ORCID,Luesak Peerawat^ORCID,Matitopanum Surasak^ORCID,Chueadee Chakat,Kraiklang Rungwasun^ORCID,Kosacka-Olejnik Monika

Publisher

Elsevier BV

Reference38 articles.

1. Multifaceted impacts of plant-beneficial Pseudomonas spp. in managing various plant diseases and crop yield improvement;Mehmood;ACS Omega,2023

2. The Influence of agricultural practices on photosynthetic activity and productivity of a new variety of cannabis in the middle Volga region;Bakulova;Agrarian Sci.,2023

3. Impact of silicon and heavy metals on hemp (Cannabis sativa L.) bast fibres properties: an industrial and agricultural perspective;Luyckx;Int. J. Environ. Res.,2022

4. Selected farming systems for improving crop production and rainwater productivity in Semi-Arid Zone, Sudan;Elhag;Open Access J. Agric. Res.,2023

5. Pre-trained deep neural network-based features selection supported machine learning for rice leaf disease classification;Aggarwal;Agriculture,2023

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