Year: 2023
Type: article
Abstract: Leaf’s primary function is to produce nutrients through photosynthesis and support the plant’s growth. Leaf diseases caused by bacteria or other pathogens can negatively impact agricultural yields. Immediate and early diagnosis of diseases is vital for plant health. The significant development of deep learning algorithms for leaf diseases classification and detection contributed to a solid tool with a robust and reliable accuracy rate. This study presents a comprehensive review of leaf diseases research in the literature. It also highlights the gaps that need to be filled as well as the obstacles and problems facing research projects. The total number of papers retrieved from five electronic databases is 256. We analyzed and classified them into seven research questions. The results demonstrate that 63% of the papers are journal articles, 35% are conference papers, and 2% are workshop papers.
Source: IEEE Access
Authors: Assad Souleyman Doutoum, Bulent Tugrul
Institution: Ankara University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $1,950
OpenAlex ID: W4387885935