About this Research Topic
The number of plant species is extremely vast, making it impractical and impossible for a botanist or expert to identify and classify all of them. Some plant species bear remarkable similarities to each other, making differentiation a time-consuming process. In addition, many plants are facing extinction. Both endangered and non-endangered plant species need proper preservation and conservation to reduce the risk of extinction. With the rapid development of information and communication technologies, it is possible to explore new research directions and practices for smart plant protection, “Smart Phytoprotection”, through emerging technologies. With the widespread application of intelligent technologies such as deep learning in plant species classification, plant recognition and classification have witnessed considerable improvement, aiding the preservation of endangered species and the advancement of agriculture and forestry disciplines.
This Research Topic is designed to gather the most recent research on plant species classification for smart plant conservation, aiming to deepen our understanding of the various smart plant species classification techniques. We hope to address these issues through an interdisciplinary lens, facilitating discussion about intelligent image processing and the application of deep learning to plant recognition. Deep learning methods have surfaced as a promising alternative in plant recognition, displaying superiority over other manually crafted methods in feature extraction. Through scientific analysis and in-depth research on plant classification, we aspire to assist in plant protection, advance the sustainable development and utilization of biological resources, expand and enhance the bioeconomy, and foster harmonious coexistence between humans and nature.
This topic discusses the latest advances in plant species classification based on deep learning, explores technological advancements in plant species classification, and addresses the challenges faced in practical applications. This topic explores the evolution of plant species classification, spanning from its historical roots to present advancements and future prospects.
We welcome submissions of different types of manuscripts including original research papers, reviews, and methods, including but not limited to:
▪ Fast plant image recognition based on deep learning
▪ Research and implementation of plant image recognition methods
▪ Researching the optimization of deep learning algorithms for object detection
▪ Research on plant recognition algorithms considering complex backgrounds
This Research Topic is designed to gather the most recent research on plant species classification for smart plant conservation, aiming to deepen our understanding of the various smart plant species classification techniques. We hope to address these issues through an interdisciplinary lens, facilitating discussion about intelligent image processing and the application of deep learning to plant recognition. Deep learning methods have surfaced as a promising alternative in plant recognition, displaying superiority over other manually crafted methods in feature extraction. Through scientific analysis and in-depth research on plant classification, we aspire to assist in plant protection, advance the sustainable development and utilization of biological resources, expand and enhance the bioeconomy, and foster harmonious coexistence between humans and nature.
This topic discusses the latest advances in plant species classification based on deep learning, explores technological advancements in plant species classification, and addresses the challenges faced in practical applications. This topic explores the evolution of plant species classification, spanning from its historical roots to present advancements and future prospects.
We welcome submissions of different types of manuscripts including original research papers, reviews, and methods, including but not limited to:
▪ Fast plant image recognition based on deep learning
▪ Research and implementation of plant image recognition methods
▪ Researching the optimization of deep learning algorithms for object detection
▪ Research on plant recognition algorithms considering complex backgrounds
Keywords: Phytoprotection, Deep Learning, Plant Recognition, Species Classification, Conservation
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
