Classification of Plant Diseases Using Convolutional Neural Networks

Autor:	Roman Jasek, Ammar Alhaj Ali, Said Krayem, Rasin Katta, Bronislav Chramcov
Rok vydání:	2021
Předmět:	Food security Contextual image classification business.industry Computer science Deep learning Machine learning computer.software_genre Convolutional neural network Plant disease Software deployment Artificial intelligence Enhanced Data Rates for GSM Evolution business computer
Zdroj:	Artificial Intelligence in Intelligent Systems ISBN: 9783030774448
DOI:	10.1007/978-3-030-77445-5_24
Popis:	2020 was declared as the International Year of Plant Health, plant disease is a nightmare of any farmer, as it threatens their business and food security. The wide deployment and penetration of smartphones accompanied by computer vision models development created an economical and easy opportunity for using image classification in agriculture. Convolutional Neural Networks (CNNs) is the cutting edge in image recognition by providing a prompt and definite diagnosis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b4a2297a41be3444bed60828b4d8d4d4 https://doi.org/10.1007/978-3-030-77445-5_24 Zobrazit plný text záznamu