Author:
Arjunagi Shravankumar,Patil Nagaraj B.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems
Reference31 articles.
1. Ramar AP, Selvaraj A, Madakannu A, Annamalai M (2019) Maize leaf disease classification using deep convolutional neural networks. Neural Comput Appl, 1–9, 17 May 2019
2. Zhang X, Qiao Y, Meng F, Fan C, Zhang M (2018) Identification of maize leaf diseases using improved deep convolutional neural networks. IEEE Access 6:30370–30377
3. Enquhone A (2017) Maize leaf diseases recognition and classification based on imaging and machine learning techniques. Int J Innov Res Comput Commun Eng 5(12)
4. Pashupat V, Kamaljit K, Pannu PPS, Gurjit K, Harleen K (2019) Unraveling the metabolite signatures of maize genotypes showing differential response towards southern corn leaf blight by 1H-NMR and FTIR spectroscopy. Physiol Mol Plant Pathol 108
5. Fentahun M, Feyissa T, Abraham A, Hae RK (2017) Detection and characterization of Maize chlorotic mottle virus and Sugarcanemosaic virus associated with maize lethal necrosis disease in Ethiopia: an emerging threat to maize production in the region. Eur J Plant Pathol 149(4):1011–1017
Cited by
5 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