Application and mechanisms of metal-based nanoparticles in the control of bacterial and fungal crop diseases.
Sign Up to like & getrecommendations! Published in 2022 at "Pest management science"
DOI: 10.1002/ps.7218
Abstract: Nanotechnology is a young branch of the discipline generated by nanomaterials. Its development has also greatly contributed to technological progress and product innovation in the field of agriculture. The antimicrobial properties of nanoparticles can be… read more here.
Keywords: crop diseases; bacterial fungal; metal based; based nanoparticles ... See more keywords
Revolutionizing crop disease detection with computational deep learning: a comprehensive review
Sign Up to like & getrecommendations! Published in 2024 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-024-12454-z
Abstract: Digital image processing has witnessed a significant transformation, owing to the adoption of deep learning (DL) algorithms, which have proven to be vastly superior to conventional methods for crop detection. These DL algorithms have recently… read more here.
Keywords: detection; crop diseases; deep learning; review ... See more keywords
Chinese crop diseases and pests named entity recognition based on variational information bottleneck and feature enhancement
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-04252-5
Abstract: Chinese crop diseases and pests named entity recognition (CCDP-NER) is a critical step in extracting domain-specific information in the field of crop diseases and pests, playing a significant role in promoting agricultural informatization. To address… read more here.
Keywords: crop diseases; information; diseases pests; recognition ... See more keywords
IoT integrated CNN framework for automated detection and quantification of rice and potato crop diseases
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-22117-9
Abstract: In modern precision agriculture, early and accurate identification of crop diseases is crucial for reducing yield loss and minimizing pesticide overuse. This study proposes an IoT-enabled framework that integrates convolutional neural networks (CNNs) with image… read more here.
Keywords: classification; crop diseases; quantification; framework ... See more keywords
Review and Trend Analysis of Knowledge Graphs for Crop Pest and Diseases
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DOI: 10.1109/access.2019.2915987
Abstract: Current techniques of knowledge management have some common defects in efficiency, scalability, and applicability. Knowledge graph provides a new way for knowledge management and is a more flexible knowledge management method. Considering the specific features… read more here.
Keywords: crop diseases; crop; knowledge graph; diseases pest ... See more keywords
IoT-based system of prevention and control for crop diseases and insect pests
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2024.1323074
Abstract: Environmentally friendly technologies for the prevention and control of crop diseases and insect pests are important to reduce the use of chemical pesticides, improve the quality of agricultural products, protect the environment, and promote sustainable… read more here.
Keywords: crop diseases; system; diseases insect; control ... See more keywords
Mechanism and Sustainable Control of Crop Diseases
Sign Up to like & getrecommendations! Published in 2025 at "Agronomy"
DOI: 10.3390/agronomy15081855
Abstract: Crop diseases pose escalating threats to global food security, with fungal pathogens alone responsible for over 20% of yield losses in major staples worldwide [...] read more here.
Keywords: crop diseases; mechanism sustainable; sustainable control; crop ... See more keywords