Agrobit has developed iAgro, a mobile app that utilizes AI, AR, and digital twin technology to optimize agro-input management for farmers. The app enables precise decision-making regarding chemical treatments and water usage, enhancing crop health and resource efficiency.
Funding
$20K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Farmers often lack precise, real-time data on crop health, leading to inefficient use of agro-inputs like chemicals and water, resulting in increased costs and environmental impact. Traditional methods for assessing crop vigor are time-consuming, costly, and may not provide the detailed insights needed for optimal resource allocation.
Solution
Agrobit's iAgro is a mobile app that leverages AI, augmented reality (AR), and digital twin technology to provide farmers with image-based decision support for precision agriculture. By using smartphone imagery, drone data, and sensor inputs, iAgro creates a digital twin of fields and crops, enabling farmers to visualize crop health and identify areas needing attention. The app analyzes plant data to optimize chemical treatments, water usage, and other inputs, promoting sustainable farming practices. iAgro delivers actionable insights directly to the farmer's smartphone, facilitating informed decisions that improve crop yields and reduce resource waste.
Target Audience
The primary target audience includes farmers, agricultural technicians, and vineyard managers seeking to optimize resource management, improve crop yields, and implement sustainable farming practices.
Features
- Mobile app for creating digital twins of fields and crops using smartphone imagery
- Integration of drone imagery and sensor data for comprehensive crop monitoring
- AI-powered image analysis to detect plant stress, nutrient deficiencies, and disease
- Augmented reality (AR) visualization of crop health data overlaid on the field
- Decision support system (DSS) for optimizing chemical treatments and water usage
- Mapping of crop vigor and yield potential
- Software for processing data collected from drones