IBAC-Net: integrative brightness adaptive plant leaf disease classification

Published: 11 March 2025
Abstract Views: 83
PDF: 31
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Similar Articles
- Vincenzo Bagarello, Andrea De Santis, Giuseppe Giordano, Massimo Iovino, Source shape and data analysis procedure effects on hydraulic conductivity of a sandy-loam soil determined by ponding infiltration runs , Journal of Agricultural Engineering: Vol. 48 No. 2 (2017)
- Jingtao Li, Hao Chen, Guisong Li, Yueqi Liu, Yanli Yang, Xia Liu, Chang Yi Wang, Detection method of potato leaf disease based on YOLOv5s , Journal of Agricultural Engineering: Vol. 55 No. 3 (2024)
- Stefano Benni, Enrica Santolini, Alberto Barbaresi, Daniele Torreggiani, Patrizia Tassinari, Calibration and comparison of different CFD approaches for airflow analysis in a glass greenhouse , Journal of Agricultural Engineering: Vol. 48 No. 1 (2017)
- Irene Diti, Daniele Torreggiani, Patrizia Tassinari, Rural landscape and cultural routes: a multicriteria spatial classification method tested on an Italian case study , Journal of Agricultural Engineering: Vol. 46 No. 1 (2015)
- José Luis Morales-Reyes, Héctor-Gabriel Acosta-Mesa, Elia-Nora Aquino-Bolaños, Socorro Herrera Meza, Aldo Márquez Grajales, Anthocyanins estimation in homogeneous bean landrace (Phaseolus vulgaris L.) using probabilistic representation and convolutional neural networks , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
- Francesca Valenti, Simona M.C. Porto, Giovanni Cascone, Claudia Arcidiacono, Potential biogas production from agricultural by-products in Sicily. A case study of citrus pulp and olive pomace , Journal of Agricultural Engineering: Vol. 48 No. 4 (2017)
- Francesco Barreca, Giuseppe Modica, Salvatore Di Fazio, Viviana Tirella, Raimondo Tripodi, Carmelo Riccardo Fichera, Improving building energy modelling by applying advanced 3D surveying techniques on agri-food facilities , Journal of Agricultural Engineering: Vol. 48 No. 4 (2017)
- Qazeem Opeyemi Ogunlowo, Adedayo Afeez Azeez, Wook Ho Na, Anis Rabiu, Misbaudeen Aderemi Adesanya, Ezatullah Zakir, John Ademola Ijadunola, Bukola Olanrewaju Afolabi, Babajide Saheed Kosemani, Titus Adeyinka Ilori, Hyun-Woo Lee, Analysis of microclimate temperature and relative humidity distribution of local poultry house in a subtropical area of Nigeria , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Gabriele Mattachini, Elisabetta Riva, Francesca Perazzolo, Ezio Naldi, Giorgio Provolo, Monitoring feeding behaviour of dairy cows using accelerometers , Journal of Agricultural Engineering: Vol. 47 No. 1 (2016)
- Timothy Denen Akpenpuun, Qazeem Opeyemi Ogunlowo, Wook-Ho Na, Prabhat Dutta, Anis Rabiu, Misbaudeen Aderemi Adesanya, Mohammadreza Nariman, Ezatullah Zakir, Hyeon Tae Kim, Hyun-Woo Lee, Dynamic neural network modeling of thermal environments of two adjacent single-span greenhouses with different thermal curtain positions , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.