AI Agriculture & Smart Farming Use Cases with Chinese LLMs

# Upload field image + prompt for disease diagnosis import requests, base64 with open("field_image.jpg", "rb") as f: img_b64 = base64.b64encode(f.read()).decode() response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "deepseek-v4", "messages": [ {"role": "system", "content": "You are a crop pathology AI. Identify diseases, pests, and recommend treatments with pesticide names and dosage."}, {"role": "user", "content": [ {"type": "text", "text": "Analyze this crop image. What disease or pest is present? Severity level? Recommended treatment with specific product names available in China."}, {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img_b64}"}} ]} ], "max_tokens": 2000 } ) print(response.json()["choices"][0]["message"]["content"])

# Yield prediction from multi-source agricultural data import requests field_data = { "crop": "winter wheat", "variety": "Jimai 22", "area_hectares": 150, "soil_ph": 7.2, "soil_nitrogen_mg_kg": 120, "avg_temp_c": 22, "rainfall_mm_30d": 85, "sowing_date": "2025-10-15", "historical_yield_tons_ha": [6.2, 6.5, 5.8, 6.1, 6.4], "pest_pressure": "moderate (aphids detected in adjacent fields)" } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "glm-4", "messages": [ {"role": "system", "content": "You are an agricultural yield forecasting AI. Predict yield in tons/hectare, harvest window, and confidence level. Format as structured JSON."}, {"role": "user", "content": f"Predict yield for this field: {json.dumps(field_data, ensure_ascii=False)}"} ], "max_tokens": 1500 } ) print(response.json()["choices"][0]["message"]["content"])

# Zone-specific irrigation and fertilizer plan import requests zone_data = { "zone_id": "A3-North", "crop": "cotton", "growth_stage": "flowering", "soil_moisture_pct": 42, "soil_ec_ms_m": 1.8, "soil_organic_matter_pct": 1.2, "forecast_7d_temp_high_c": 36, "forecast_7d_rainfall_mm": 0, "wind_speed_m_s": 4.5, "last_irrigation_date": "2026-08-18" } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "qwen3-235b", "messages": [ {"role": "system", "content": "You are a precision agriculture expert. Generate irrigation schedules (mm, timing, method) and fertilizer recommendations (N-P-K ratios, kg/ha, application timing) for Chinese farming conditions."}, {"role": "user", "content": f"Generate irrigation and fertilizer plan for this zone: {json.dumps(zone_data, ensure_ascii=False)}"} ], "max_tokens": 2000 } ) print(response.json()["choices"][0]["message"]["content"])

# Greenhouse climate parameter optimization import requests greenhouse_data = { "crop": "cherry tomatoes", "variety": "Honglingjin", "growth_stage": "fruit development", "greenhouse_type": "Venlo glass", "current_temp_day_c": 28, "current_temp_night_c": 16, "current_rh_pct": 78, "current_co2_ppm": 420, "light_hours_day": 12, "outside_temp_high_c": 32, "outside_temp_low_c": 22, "fruit_cracking_observed": "yes, 8% of harvest" } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "deepseek-v4", "messages": [ {"role": "system", "content": "You are a greenhouse climate optimization AI. Recommend precise day/night temperatures, humidity targets, CO2 enrichment levels, and light strategies for Chinese greenhouse conditions."}, {"role": "user", "content": f"Optimize climate parameters for this greenhouse: {json.dumps(greenhouse_data, ensure_ascii=False)}"} ], "max_tokens": 2000 } ) print(response.json()["choices"][0]["message"]["content"])

# Market price forecasting and optimal selling strategy import requests market_context = { "product": "Jin Huang mango (grade A)", "region": "Hainan, Sanya", "harvest_volume_tons": 85, "current_wholesale_price_yuan_kg": 12.5, "current_retail_price_yuan_kg": 28.0, "last_30d_price_trend": "declining 3% per week", "import_competition": "Thai mango imports increasing, price 10.8 yuan/kg", "storage_capacity_days": 14, "major_buyers": ["Hema Fresh", "Missfresh", "local wholesale market"], "upcoming_festivals": ["Mid-Autumn Festival (Sep 21)"] } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "glm-4", "messages": [ {"role": "system", "content": "You are an agricultural market analyst. Forecast prices, recommend optimal selling strategy, and identify best buyers for Chinese agricultural products."}, {"role": "user", "content": f"Analyze market and recommend selling strategy: {json.dumps(market_context, ensure_ascii=False)}"} ], "max_tokens": 2000 } ) print(response.json()["choices"][0]["message"]["content"])

# Equipment failure prediction and maintenance scheduling import requests equipment_data = { "machine": "John Deere S760 combine harvester", "operating_hours": 2847, "engine_temp_c": 102, "hydraulic_pressure_bar": 185, "vibration_level_mm_s": 8.2, "fuel_consumption_l_ha": 18.5, "last_service_date": "2026-06-15", "last_service_type": "500-hour maintenance", "recent_alerts": ["Hydraulic filter pressure differential high", "Engine coolant temp slightly elevated"], "days_to_harvest_window": 12, "harvest_acres": 800 } response = requests.post( "https://tokenease.io/v1/chat/completions", headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"}, json={ "model": "qwen3-235b", "messages": [ {"role": "system", "content": "You are a farm equipment maintenance AI. Predict failure risk, recommend immediate actions, and schedule maintenance to avoid critical harvest/planting windows."}, {"role": "user", "content": f"Analyze equipment health and recommend actions: {json.dumps(equipment_data, ensure_ascii=False)}"} ], "max_tokens": 2000 } ) print(response.json()["choices"][0]["message"]["content"])