Meta‐learning shows great potential in plant disease recognition under few available samples

X Wu, H Deng, Q Wang, L Lei, Y Gao… - The Plant …, 2023 - Wiley Online Library
Plant diseases worsen the threat of food shortage with the growing global population, and
disease recognition is the basis for the effective prevention and control of plant diseases …

Naming entity recognition of citrus pests and diseases based on the BERT-BiLSTM-CRF model

Y Liu, S Wei, H Huang, Q Lai, M Li, L Guan - Expert Systems with …, 2023 - Elsevier
In the agricultural industry, there is still a need for improved systematic integration of
knowledge related to citrus pests and diseases. Creating a knowledge base focused on …

A content-aware corpus-based model for analysis of marine accidents

K Yan, Y Wang, L Jia, W Wang, S Liu, Y Geng - Accident Analysis & …, 2023 - Elsevier
In the past decades, marine accidents brought the serious loss of life and property and
environmental contamination. With the accumulation of marine accident data, especially …

Knowledge Graph for Solubility Big Data: Construction and Applications

X Haiyang, Y Ruomei, W Yan, G Lixin… - … Reviews: Data Mining …, 2025 - Wiley Online Library
Dissolution refers to the process in which solvent molecules and solute molecules attract
and combine with each other. The extensive solubility data generated from the dissolution of …

Named entity recognition of Chinese crop diseases and pests based on RoBERTa-wwm with adversarial training

J Liang, D Li, Y Lin, S Wu, Z Huang - Agronomy, 2023 - mdpi.com
This paper proposes a novel model for named entity recognition of Chinese crop diseases
and pests. The model is intended to solve the problems of uneven entity distribution …

Emergency entity relationship extraction for water diversion project based on pre-trained model and multi-featured graph convolutional network

LH Wang, XM Liu, Y Liu, HR Li, JQI Liu, LB Yang - Plos one, 2023 - journals.plos.org
Using information technology to extract emergency decision-making knowledge from
emergency plan documents is an essential means to enhance the efficiency and capacity of …

Chinese named entity recognition for agricultural diseases based on entity-related visual prompts injection

C Zhang, L Zhang, H Wu, C Wang, C Chen… - … and Electronics in …, 2024 - Elsevier
Named entity recognition is a crucial step in information extraction for agricultural diseases.
However, most existing works only utilize word embedding models to generate contextual …

VEG-MMKG: Multimodal knowledge graph construction for vegetables based on pre-trained model extraction

B Lv, H Wu, W Chen, C Chen, Y Miao… - Computers and Electronics …, 2024 - Elsevier
Abstract Knowledge graph technology is of great significance to modern agricultural
information management and data-driven decision support. However, agricultural …

农业气象灾害知识图谱构建研究进展

邱明慧, 谢能付, 姜丽华, 吴焕萍, 陈颖, 李永磊 - 中国农业气象, 2024 - zgnyqx.ieda.org.cn
海量异构数据的高效利用是提升农业灾害管理智能化水平的关键因素, 探索多源异构的农业气象
灾害知识图谱构建技术对农业气象灾害动态监测与智能化管理决策具有重要意义 …

Pest and Disease Management in Ginger Plants: Artificial Intelligence of Things (AIoT)

O Elijah, AE Abioye, TE Maguvu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Ginger (Zingiber officinale), a globally cultivated spice crop, is vital to numerous economies.
However, its production faces significant challenges due to pests and diseases, which can …