Projects

Project supported by the National Natural Science Foundation of China

Research on zero-shot learning method for identification and retrieval of fructus aurantii pests and diseases(62006035), completed

The project focuses on the zero-shot problem in the identification and control and management of fructus aurantii pests and diseases, researching the identification and retrieval of fructus aurantii pests and diseases, including the identification of fructus aurantii pests and diseases based on the conditional generation for zero-shot fructus aurantii pests and diseases, image retrieval of fructus aurantii pests and diseases based on the semantically-enhanced hashing, and knowledge retrieval of fructus aurantii pests and diseases based on the hybrid network for zero-shot cross-modal fructus aurantii pests and diseases. The above research can help growers identify the pest and disease conditions in time, accurately grasp the knowledge of pest control and management, and reasonably take effective control measures to improve the yield and quality of fructus aurantii, reduce economic losses, revitalize the rural economy, promote the sustainable development of Chinese herbal medicine cultivation, and provide high-quality sources of medicinal materials for the development of traditional Chinese medicine in China and the international promotion of Chinese medicine.
Related Research:

  1. Fangming Zhong*, Zhikui Chen, Yuchun Zhang, Feng Xia. Zero- and Few-shot Learning for Diseases Recognition of Citrus aurantium L. Using Conditional Adversarial Autoencoders. Computers and Electronics in Agriculture. 2020, 179: 1-10.

  2. Fangming Zhong*, Guangze Wang, Zhikui Chen, Feng Xia. Multiple-Input Multiple-Output Fusion Network for Generalized Zero-Shot Learning. ICASSP, 2021: 1725-1729. (CCF-B)

  3. Xu Yuan, Guangze Wang, Zhikui Chen, Fangming Zhong*. CHOP: An Orthogonal Hashing Method for Zero-Shot Cross-Modal Retrieval. Pattern Recognition Letters. 2021, 145:247-253.

  4. Fangming Zhong; Zhikui Chen; Suhua Zhang; A generalized zero-sample learning method based on multi-input multi-output fusion networks, 2021-01-25, CNIPA, 202110096703.9. (Accepted)

crosswise tasks

Intelligent fructus aurantii planting management system, completed

Chongqing Weiyi Eco-Agriculture Technology Co., Ltd. and Chongqing Agriculture Commission joint project, divided into three phases. The project is located in “Tongnan Modern Agriculture (Fructus Aurantii) Demonstration Base of Tongnan National Agricultural Science and Technology Demonstration Park”, Tongnan District, Chongqing City, planting more than 333.33 hectares of fructus aurantii. The project relied on the “Chinese Medicinal Materials (Fructus Aurantii) Intelligent Planting Experiment Demonstration Project” of Chongqing Agriculture and Rural Affairs Committee in 2019, which was supported by the rolling fund of 1.8 million yuan in three years by Chongqing Agriculture Commission and the Bureau of Finance. The project developed a Fructus aurantii smart planting management system, and built an integrated service platform for Chinese herbal medicine smart planting based on the Internet of Things big data. Covering: smart planting data acquisition, data management, big data visualization; Fructus aurantii intelligent planting knowledge base, knowledge map, pest and disease identification, Fructus aurantii planting integrated intelligent model of water and fertilizer, etc.
Related Research:

  1. Fangming Zhong*, Zhikui Chen, Geyong Min, Feng Xia. Semantic Augmentation Hashing For Zero-Shot Image Retrieval. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020: 1943-1967.

  2. Fangming Zhong*, Zhikui Chen, Yuchun Zhang, Feng Xia. Zero- and Few-shot Learning for Diseases Recognition of Citrus aurantium L. Using Conditional Adversarial Autoencoders. Computers and Electronics in Agriculture. 2020, 179: 1-10.

  3. Fangming Zhong; Zhikui Chen; Guangze Zhang; Wenjun Zhang; A Semantically Enhanced Hashing Method for Zero-shot Image Retrieval, CNIPA, 2020100118502.2, 2020-01-08. (Authorized)

  4. Zhikui Chen; Fangming Zhong; Meng Wang; Kunlun Jiang; Intelligent fructus aurantii planting management system, CNIPA, 2020SR0171512, 2019-08-31. (Authorized)