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R & D and promotion of information technology for integrated agricultural pest control
Smart agricultural pest diagnosis and control system reduces pesticides, increases benefits, and ensures safety.
Type
Intelligent plant protection system
Tags
Ecological agriculture
Computer decision support system
Agricultural information technology
Plant virology
Pest diagnostic
Pest control
Expert system
Applicable industry
Scientific research and technology services
Applications
Smart agriculture
Key innovations
Using case reasoning and original knowledge organization, the system achieves multi-platform, high-coverage intelligent and precise diagnosis and control of pests and diseases, significantly reduces pesticide use, improves the safety of agricultural products, and efficiently saves costs.
Potential economic benefits
Reduce pesticide use by 27.3%, save pesticide expenditure by more than 9 million yuan, and add more than 54 million yuan in output value in two years, significantly improve the safety and yield quality of agricultural products, and achieve cost savings and efficiency gains.
Potential climate benefits
Precise management reduces pesticide use by 27.3%, directly reducing carbon emissions in pesticide production, transportation and application. Increasing output indirectly reduces land resource consumption.
Solution supplier
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Shanghai City Academy of Agricultural Sciences
Shanghai City Academy of Agricultural Sciences
Shanghai City Academy of Agricultural Sciences is a scientific and technological innovation base serving the development of modern agriculture in Shanghai's urban areas and is committed to the safety and sustainable development of agricultural products.
Shanghai,China
Solution details

Frequent outbreaks of agricultural pests and diseases reduce the yield and quality of agricultural products, and inappropriate chemical pesticide control increases the risk of pesticide residues. Since information technology began to play a role in various fields, we also hope that the agricultural expert system can replace plant protection experts and technicians, assist in agricultural pest management, save costs and increase efficiency, and improve the safety of agricultural products.
Since 2002, he has been committed to research and application in this area for more than 10 years. Relying on the transformation of national scientific and technological achievements, the Shanghai City Agricultural Committee and the Science and Technology Commission and other projects, information technology to serve the comprehensive control of pests and diseases in vegetables, rice and yellow peaches has been researched and developed, and promoted and applied.

Main content:
Combining traditional pest diagnosis and control technology with computer technology and expert system technology, plant protection experts, knowledge engineers and software engineers digitize and model all aspects of integrated pest and disease control technology, and researched and developed:

  1. The expert system for diagnosis and control of vegetable pests and diseases has been customized to provide information technology services such as identification, diagnosis, control, and pesticide use of pests and diseases in production;
  2. The rice pest management decision-making system integrates information transmission technology, model technology and artificial intelligence technology to develop a decision-making system that includes functions such as rice pest information collection, monitoring and early warning, diagnosis and identification;
  3. The yellow peach production management system is an application case of pest diagnosis and control technology in fruit tree production management;
  4. The Shanghai Plant Protection Online website has become an important information service method outside the expert system with columns such as plant protection information, pest and insect dynamics, and expert interaction, and is a necessary supplement to the self-service service of the expert system.

Key innovation points:

  1. Advanced diagnostic reasoning technology, strong system intelligence
    According to the characteristics of pests and diseases in production, a case-based reasoning mechanism is selected to overcome the limitations, vulnerability, difficulty in obtaining knowledge and difficulty in updating existing rules-based expert systems, effectively distinguish differences in pests and diseases, and achieve high accuracy in diagnosis.
  2. Original knowledge organization method, high efficiency in solving
    A set of pest and disease knowledge organization methods and diagnosis technical processes are proposed including symptom extraction, case organization, case retrieval, and case learning. A method for calculating attribute weights for pest and disease symptom frequency and a retrieval strategy based on dynamically generating attribute weights are proposed.
  3. High service target coverage and great application potential
    The expert system for pest and disease diagnosis can diagnose, inquire and control decisions on 435 diseases and 198 insect pests, 28 diseases of yellow peaches, 15 insect pests, 34 rice diseases, and 21 insect pests and 15 grass pests in 8 categories of vegetables including cruciferous vegetables, solanaceous fruits and melons.
  4. Multi-platform combined service model with remarkable application results
    Starting from user needs, fully considering the specific conditions and level of needs of users, we provide self-service or interactive multi-level and all-round combination services including network access, PC installation, mobile device carrying, expert interaction, and short message reception.

Application effectiveness of results:
Since 2006, relying on professional websites and remote diagnosis systems to provide pest and disease control network services, there are currently more than 10000 online users, promoting and applying more than 200 sets of stand-alone software and more than 50 sets of PDA/smartphone software and hardware equipment.
The results have been promoted and applied in 10 districts and counties including Minhang District and Baoshan District in Shanghai, as well as agriculture, industry and commerce, as well as Jiangsu, Zhejiang, Anhui, and Hunan. The core demonstration area of the system is 155434 acres, the promotion and application area is more than 1.24 million acres, and the total demonstration and radiation promotion area is more than 2.66 million acres. Help agricultural growers improve their understanding of pests and diseases. The pest and disease identification rate is more than 95%, the average use of pesticides in the system application area is reduced by 27.3%, and the new output value in Shanghai's 831469 acres of demonstration area has increased by more than 54 million yuan in two years, reducing chemical pesticides. Save more than 9 million yuan.
The project's research results applied for 8 software copyrights and published 10 papers.

Last updated
11:55:51, Nov 04, 2025
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