Evaluation of State-of-the-Art Deep Learning Techniques for Plant Disease and Pest Detection
Year: 2025
Type: article
Abstract: Addressing plant diseases and pests is not just crucial; it’s a matter of utmost importance for enhancing crop production and preventing economic losses. Recent advancements in artificial intelligence, machine learning, and... | Find, read and cite all the research you need on Tech Science Press
Authors: MD Tausif Mallick, Saptarshi Banerjee, Nityananda Thakur, Himadri Nath Saha, Amlan Chakrabarti
Institution: University of Calcutta
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W4412951505