AGVOLUTION provides IoT-based weather sensors and AI-driven analytics to optimize resource use in agriculture and horticulture, addressing the challenges posed by climate change and local environmental variations. Their solutions enable precise data collection and actionable insights, enhancing plant management while reducing water and fertilizer consumption.
Funding
Funding not disclosed
Founders
Product
Problem
Climate change and local environmental variations pose significant challenges to agriculture and horticulture, making it increasingly complex to optimize resource use and proactively assess the economic and ecological impact of plant cultivation. Traditional methods often lack the precision needed to address the specific needs of individual fields, leading to inefficient use of water, fertilizer, and labor.
Solution
Agvolution provides an integrated solution that combines IoT-based weather sensors with AI-driven analytics to optimize resource management in agriculture and horticulture. Their system enables precise, real-time data collection on environmental factors such as soil moisture and temperature, delivering actionable insights for plant management. By integrating local weather, soil, and market data with plant growth models, Agvolution's AI software, Agmeo, determines the optimal resource allocation for each hectare. This approach allows for more sustainable field management, reducing water and fertilizer consumption while minimizing greenhouse gas emissions and increasing profitability. The Climavi sensor technology offers patented sensors that precisely measure soil moisture and temperature, sending data directly to a user's smartphone.
Target Audience
Agvolution targets professionals in agriculture, horticulture, smart cities, and research, including farmers, consultants, and scientists who seek to optimize resource use, improve plant management, and validate forecasts.
Features
- Climavi sensors: Patented sensor technology for precise measurement of soil moisture and temperature.
- Agmeo software: AI-driven software that combines local weather, soil, and market data with plant growth models.
- Real-time data collection: Continuous monitoring of environmental factors affecting plant growth.
- Wireless technology: Integration of innovative wireless technology for easy measurement of environmental factors.
- API access: Comprehensive analyses available via API for integration into existing services.
- Mobile app: Direct data delivery to smartphones for convenient monitoring and decision-making.
- Open-source code: Open-source code available for users to run their own Arduino weather stations.