Modern agriculture involves complex decision-making across crop management, pest control, soil science, regulatory compliance, market analysis, and sustainability reporting. Chinese LLMs like DeepSeek V4, GLM-4, and Qwen3 can process agricultural research, weather reports, soil data, market trends, and regulatory guidance to help farmers and agronomists make better decisions faster. TokenEase's unified API provides the agricultural industry with cost-effective access to these powerful models.
Generate season-specific crop management plans based on soil conditions, weather forecasts, pest pressures, and local agricultural extension guidance.
import requests
def generate_crop_plan(crop_type, soil_data, weather_forecast, pest_pressure, growth_stage):
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 an experienced agronomist. Generate crop management recommendations based on current conditions, growth stage, and best practices. Include specific actions, timing, and input rates."},
{"role": "user", "content": f"Stage: {growth_stage}\nPest: {pest_pressure}\nWeather: {weather_forecast}\nSoil: {soil_data}\nCrop: {crop_type}\n\nGenerate management plan."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
soil = "Loam, pH 6.8, organic matter 3.2%, P (Bray) 28 ppm, K 185 ppm, N (nitrate) 12 ppm at 0-6 inch. CEC 15 meq/100g."
weather = "Week 1-2: 85-90F, 0.5 inch rain. Week 3-4: 90-95F, dry conditions expected. Heat stress risk."
pest = "Corn earworm pressure increasing (trap counts 18/week, threshold 5). Fall armyworm detected in adjacent county."
stage = "R1 (silking) - critical pollination window"
plan = generate_crop_plan("Corn (hybrid P1197, 110-day)", soil, weather, pest, stage)
Analyze field observations, symptoms, and environmental conditions to identify likely pests or diseases and recommend treatment options.
def identify_pest_disease(observations, crop_type, environmental_conditions, geographic_location):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "qwen3-235b",
"messages": [
{"role": "system", "content": "Identify agricultural pests and diseases from field observations. Consider symptom patterns, host specificity, local pest prevalence, and environmental triggers. Recommend IPM-based treatments."},
{"role": "user", "content": f"Location: {geographic_location}\nEnvironment: {environmental_conditions}\nCrop: {crop_type}\nObservations:\n{observations}\n\nIdentify and recommend."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
obs = """
Tomato plants, 6 weeks after transplanting:
- Lower leaves: yellowing between veins, starting from leaf margins, progressing inward
- Upper leaves: normal green color
- Stems: no lesions, no wilting
- Fruit: normal development, some blossom end rot on 5% of fruit
- Roots: not examined
- Spread pattern: gradual, affecting ~30% of plants, starting from field edges
"""
env = "Recent heavy rains (4 inches in 2 days) followed by hot weather (88-92F). Poor drainage in affected areas."
location = "Iowa, central region, June"
id_result = identify_pest_disease(obs, "Tomato (determinate variety, field production)", env, location)
Interpret soil test results and recommend fertilization programs tailored to crop needs and environmental conditions.
def analyze_soil_fertility(soil_test_results, target_crop, yield_goal, previous_crop, fertilizer_constraints):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "glm-4-plus",
"messages": [
{"role": "system", "content": "Analyze soil fertility data and recommend fertilization programs. Consider crop removal rates, nutrient use efficiency, environmental stewardship, and economic optimization."},
{"role": "user", "content": f"Constraints: {fertilizer_constraints}\nPrevious: {previous_crop}\nGoal: {yield_goal}\nCrop: {target_crop}\nSoil:\n{soil_test_results}\n\nRecommend fertility program."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
test = """
0-6 inch: pH 5.9, OM 2.8%, P 18 ppm, K 145 ppm, Ca 1200 ppm, Mg 180 ppm, S 8 ppm, Zn 0.8 ppm, B 0.4 ppm
6-12 inch: pH 6.0, NO3-N 8 ppm, SO4-S 12 ppm
CEC: 12 meq/100g, Base saturation: Ca 65%, Mg 20%, K 3%, H 12%
"""
crop = "Soybeans (Group 2.5, no-till system)"
goal = "65 bushels/acre"
previous = "Corn (2025, 180 bu/acre, stalks left on field)"
constraints = "Must comply with 4R Nutrient Stewardship. Prefer dry fertilizer (anhydrous not available). Budget: $85/acre for fertilizer."
fertility = analyze_soil_fertility(test, crop, goal, previous, constraints)
Generate compliance documentation for pesticide applications, environmental permits, and food safety programs.
def generate_compliance_document(document_type, operation_details, regulatory_requirements, application_records):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "kimi-k2",
"messages": [
{"role": "system", "content": "Generate agricultural compliance documentation. Include required data fields, safety precautions, buffer zones, and record-keeping requirements. Follow EPA, state, and local regulations."},
{"role": "user", "content": f"Records: {application_records}\nRegulations: {regulatory_requirements}\nOperation: {operation_details}\nType: {document_type}\n\nGenerate document."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
doc_type = "Restricted Use Pesticide (RUP) application record"
operation = "500-acre corn operation, 4 fields. Applicator: John Smith (cert #IA-2024-JS-4521). Equipment: John Deere 4730 sprayer, 120 ft boom, 15 GPA."
regs = "EPA RUP requirements, Iowa Department of Agriculture and Land Stewardship record-keeping, FIFRA Section 18 emergency exemption if applicable"
records = "Product: Atrazine 4L (RUP). Rate: 1.5 lb ai/acre. Date: 2026-05-15. Field: North 80 (soil 1.8% OM, low runoff potential). Weather: 72F, wind 5 mph SW, no rain forecast 48 hrs. Buffer: 66 ft to stream.""
compliance = generate_compliance_document(doc_type, operation, regs, records)
Analyze commodity price trends, market reports, and weather impacts to inform sales timing and hedging decisions.
def analyze_commodity_market(commodity, current_data, market_factors, historical_context, farmer_position):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "deepseek-v4",
"messages": [
{"role": "system", "content": "Analyze agricultural commodity markets. Consider supply/demand fundamentals, weather impacts, policy changes, and technical factors. Provide balanced outlook with risk assessment. Not financial advice."},
{"role": "user", "content": f"Position: {farmer_position}\nHistory: {historical_context}\nFactors: {market_factors}\nCurrent: {current_data}\nCommodity: {commodity}\n\nAnalyze market."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
current = "Corn (Dec 2026 futures): $4.52/bu. Soybeans (Nov 2026): $10.85/bu. Basis: -$0.35 local elevator."
factors = "USDA August report: corn yield 183.1 bu/acre (record). Soybean yield 53.2 bu/acre. Brazil planting delayed by dry conditions. China demand recovering. Export sales strong."
history = "Farmer sold 30% at $4.80 in June. Remaining 70% unpriced. 5-year avg local price: $4.25. Cash flow needs: $45,000 due Oct 1 for land payment."
position = "750 acres corn (est 165 bu/acre), 500 acres soybeans (est 55 bu/acre). Storage capacity: 25,000 bushels."
market = analyze_commodity_market("Corn and Soybeans", current, factors, history, position)
Generate sustainability reports, carbon credit documentation, and conservation program applications from farm practice records.
def generate_sustainability_report(farm_practices, environmental_data, certification_program, baseline_year):
response = requests.post(
"https://tokenease.io/v1/chat/completions",
headers={"Authorization": "Bearer YOUR_TOKENEASE_API_KEY"},
json={
"model": "qwen3-235b",
"messages": [
{"role": "system", "content": "Generate agricultural sustainability reports. Document practices, quantify environmental benefits, and support certification programs. Include methodology, data sources, and improvement plans."},
{"role": "user", "content": f"Program: {certification_program}\nBaseline: {baseline_year}\nEnvironment: {environmental_data}\nPractices:\n{farm_practices}\n\nGenerate report."}
]
}
)
return response.json()["choices"][0]["message"]["content"]
practices = """
2021-2026 Transition:
- Tillage: Conventional → No-till (100% of acres since 2023)
- Cover crops: 0% → 85% (cereal rye, crimson clover mix)
- Nitrogen: 180 lb/acre → variable rate 140-160 lb/acre with split application
- Pest management: Calendar spraying → scouting-based IPM
- Buffers: Enhanced 50 ft vegetative buffers along all streams
"""
env = "Soil erosion reduced from 5.2 T/ac/yr to 1.8 T/ac/yr. Water infiltration improved 40%. Soil organic matter increased 0.4% over 5 years."
program = "USDA EQIP (Environmental Quality Incentives Program) - Conservation Practice Standard 329 (Residue and Tillage Management)"
base = "2020 baseline year: conventional tillage, no cover crops, fixed-rate N application, minimal buffers"
sustainability = generate_sustainability_report(practices, env, program, base)
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