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AI for Good Innovate for Impact
Use Case 4: Divine Farmer Agricultural AI Model
Country: China
Organization: China Telecom Wanwei Information Technology Co., Ltd.
Contact Person: BinBin Wen, 173735562@qq.com,
ShaoJie Zhang, 18919821844@189.cn
1 Use Case Summary Table
Item Details
Category Smart Agriculture
Problem Over reliance on individual experience, shortage of technical personnel,
Addressed difficulties in promoting advanced agricultural technologies, low agricul-
tural informatization level, limited service coverage, inconvenient access to
technical information.
Key Aspects of Artificial Intelligence (AI) - powered agricultural Question & Answer assistant
Solution that leverages Interactive Natural Language Processing (NLP) for real-time
planting guidance and knowledge dissemination. It also includes a pest and
disease identification module using image-based AI recognition with over
86% accuracy, offering tailored treatment plans. Additionally, the platform
integrates price forecasting capabilities through NLP and time-series anal-
ysis to deliver reliable market trend predictions.
Technology AI/ML, LLM, Computer Vision, Natural Language Processing (NLP), Data
Keywords Analytics.
Data Availability Private Data (e.g., proprietary agricultural production records, pest/disease
image databases from partner farms, historical market price datasets).
Sources not publicly disclosed.
Metadata (Type of Text (for Q&A, price analysis input/output), Visual (for pest/disease identifi-
Data) cation images), Structured Data (for price analysis and prediction).
Model Training CV Models: Pre-trained YOLO fine-tuned on pest/disease datasets. Large
and Fine-Tuning Language Model (LLM): Pre-trained Qwen2.5-32B for Q&A and price trend
analysis. Time-Series Forecasting: LSTM models for market predictions.
Testbeds or Pilot AI - powered agricultural assistant offering technical guidance, price
Deployments forecasting, and decision support to farmers through natural language
interaction [4]
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