Get to know better about your plant through our advanced decision tree AI model which analyzes real-time electrical and environmental data from your plants to accurately detect dehydration, nutrient deficiency, heat stress, and more. Take control of your agricultural and plant management with accurately data-driven insights.
Our AI-powered plant stress prediction system combines cutting-edge technology with agricultural expertise to deliver actionable insights for farmers and researchers.
Collect electrical and environmental data from cucumber, potato, and chilli plants using Arduino-based sensors for continuous monitoring.
Decision tree algorithms accurately classify stress types including dehydration, nutrient deficiency, heat, low light, and elevated CO₂.
Our system is trained specifically on cucumber, potato, and chilli plants, providing tailored insights for each species.
Receive clear, actionable recommendations to address detected stress conditions and optimize plant health.
Our three-step process makes plant stress detection simple and effective for agricultural management and research.
Install Arduino-based sensors in your fields to collect real-time electrical and environmental data from your plants.
Our decision tree AI model processes the data to identify specific stress patterns with high accuracy.
Receive detailed reports and actionable recommendations to address identified stress conditions.
Get started with our basic package. Need more API calls? Purchase additional 300-API bundles as needed.
Everything you need to start
Add more API calls when needed
Important: API calls are sold in bundles of 300 calls (¥15 per bundle). Each bundle gives you 300 API calls at ¥0.05 per call. Purchase additional bundles as needed.
Scan the QR code below to pay via WeChat. After payment, contact us with your transaction ID to activate your service.
Contact after payment: greenpulse@gmail.com | +86 15325367612
Get our PCB hardware with 300 API calls included. Simple pricing at ¥0.05 per API call.
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