IntelinAir's AgMRI is a comprehensive agricultural intelligence platform designed to empower farmers with actionable insights derived from artificial intelligence and aerial imagery. By transforming aerial data into valuable information, AgMRI helps optimize crop health, improve yields, and facilitate informed decision-making throughout the entire growing season. This innovative platform integrates a multitude of data sources, including aerial imagery, AI-powered analytics, weather data, machine performance metrics, and field-level agronomic information, providing a holistic view of crop development and potential challenges.
AgMRI leverages high-resolution aerial imagery captured by fixed-wing aircraft to provide detailed field-level information. This imagery is then processed using advanced AI algorithms to identify and analyze various factors affecting crop health, such as disease, weed pressure, nutrient deficiencies, and stress. The platform's predictive analytics capabilities enable early detection of potential problems, allowing farmers to take timely interventions and minimize yield loss. With AgMRI, farmers can optimize resource allocation, improve operational efficiency, and make data-driven decisions that enhance profitability and sustainability.
AgMRI also offers a customizable dashboard that delivers personalized alerts and insights tailored to each farmer's specific needs and preferences. This allows users to focus on the most critical issues affecting their crops and take proactive measures to address them. The platform's integration with farm management software further streamlines workflows, making it easier for farmers to incorporate AgMRI insights into their existing operations.
Key Features
AgMRI transforms aerial data into actionable insights for optimized crop management, enabling data-driven decisions throughout the growing season. The AI-driven analytics continuously learn and improve from new data, ensuring that the insights provided are always up-to-date and relevant. The platform provides comprehensive crop monitoring, tracking growth stages, plant counts, and biomass to assess crop health and performance, offering a holistic view of crop development.
The high-resolution aerial imagery analysis provides detailed field-level information with fixed-wing imagery at 15cm GSD, allowing for precise identification of crop health issues. This level of detail enables farmers to identify and address problems early on, minimizing potential yield loss. The platform's early disease detection capabilities utilize predictive analytics to identify risks for common corn and soybean diseases, enabling timely intervention and minimizing yield loss. AgMRI forecasts potential crop diseases such as Northern corn leaf blight, Gray leaf spot, and Tar spot in corn, and Frogeye leaf spot, Target spot, and Septoria brown spot in soybeans.
AgMRI generates detailed maps of affected areas to prioritize weed control efforts, optimizing herbicide application and reducing costs. This feature helps farmers target their weed control efforts more effectively, reducing the amount of herbicide needed and minimizing environmental impact. The platform also integrates seamlessly with existing farm management systems for streamlined workflows, enhancing data accessibility and usability. This integration makes it easier for farmers to incorporate AgMRI insights into their existing operations and make data-driven decisions.
Ensuring users have access to insights anytime and anywhere via a secure cloud platform, AgMRI facilitates timely decision-making. The cloud-based data access allows farmers to monitor their crops from any device, at any time, and make informed decisions based on the latest data. The platform also provides actionable alerts on specific problems via push notifications, ensuring that farmers are always aware of any potential issues affecting their crops.
Technical Specifications
| Specification | Value |
|---|---|
| Imagery Resolution | 15 cm GSD |
| Data Layers | Weather, thermal, soil, topography, machine data |
| Connectivity | Cloud-based |
| Integration | Farm Management Software |
| AI and Machine Learning | Continuous learning and improvement |
| Target Crops | Corn, Soybeans |
Use Cases & Applications
AgMRI provides early detection of crop stress from various factors, enabling farmers to identify and address problems before they impact yield. For instance, it can detect nutrient deficiencies, allowing farmers to apply fertilizer in a timely manner. The platform also identifies fields and areas affected by weeds, helping farmers prioritize weed control efforts and optimize herbicide application. It predicts potential yield loss due to nitrogen deficiency (with NVision Ag), enabling farmers to take corrective action and minimize losses.
AgMRI facilitates early detection of replant opportunities, allowing farmers to replant areas where crops have failed. It also forecasts potential crop diseases, such as Northern corn leaf blight in corn and Frogeye leaf spot in soybeans, enabling farmers to take preventive measures. By optimizing resource allocation, AgMRI helps farmers reduce input costs and improve profitability. It supports strategic decision-making by providing farmers with a comprehensive view of their crops and the factors affecting their health and yield.
Farmers can use AgMRI to detect early signs of crop stress caused by drought, heat, or pest infestations. This allows them to take timely interventions to mitigate the impact of these stressors and protect their crops. The platform can also be used to identify areas of the field that are not performing well, allowing farmers to investigate the cause and take corrective action. By monitoring crop growth and development throughout the season, AgMRI helps farmers make informed decisions about irrigation, fertilization, and pest control.
Strengths & Weaknesses
| Strengths ✅ | Weaknesses ⚠️ |
|---|---|
| AI-driven analytics provide actionable insights for optimized crop management | Requires aerial imagery, which may be subject to weather conditions |
| High-resolution aerial imagery allows for precise identification of crop health issues | Accuracy depends on the quality and frequency of aerial imagery |
| Early disease detection enables timely intervention and minimizes yield loss | May require integration with existing farm management software for full functionality |
| Comprehensive crop monitoring provides a holistic view of crop development | Initial setup and training may be required to fully utilize the platform |
| Weed map generation optimizes herbicide application and reduces costs | Requires consistent internet connectivity for cloud-based data access |
Benefits for Farmers
AgMRI offers several key benefits for farmers. It helps save time by automating crop monitoring and providing actionable insights, reducing the need for manual scouting. By optimizing resource allocation and reducing input costs, AgMRI helps farmers reduce costs and improve profitability. The platform also improves yields by enabling early detection of crop stress and disease, allowing farmers to take timely interventions. AgMRI promotes sustainability by optimizing herbicide application and reducing environmental impact.
Integration & Compatibility
AgMRI integrates with existing farm operations by seamlessly integrating with farm management software. This integration allows for streamlined workflows and enhances data accessibility and usability. The platform is compatible with various data sources, including aerial, satellite, and drone imagery, as well as data from farm equipment, weather stations, and scouting reports. This comprehensive data integration provides farmers with a holistic view of their crops and the factors affecting their health and yield.
Frequently Asked Questions
| Question | Answer |
|---|---|
| How does this product work? | AgMRI uses AI to analyze aerial imagery, weather data, and other field-level information. By processing this data, it identifies potential issues like disease, weeds, or nutrient deficiencies, providing farmers with actionable insights. |
| What is the typical ROI? | ROI varies depending on farm size, crop type, and specific challenges, but AgMRI aims to improve yields, reduce input costs through optimized resource allocation, and minimize losses due to disease or pests. |
| What setup is required? | AgMRI is a cloud-based platform, so no on-site installation is required. Users access the platform through a web browser or mobile app, and data is integrated through existing farm management systems or uploaded directly. |
| What maintenance is needed? | As a cloud-based platform, AgMRI requires minimal maintenance. IntelinAir handles all software updates and server maintenance, ensuring users always have access to the latest features and data. |
| Is training required to use this? | While the platform is designed to be user-friendly, IntelinAir provides training resources and support to help farmers understand the data and implement the insights effectively. The learning curve is relatively short, especially for users familiar with farm management software. |
| What systems does it integrate with? | AgMRI integrates with various farm management systems, allowing for seamless data transfer and streamlined workflows. This integration enhances data accessibility and usability, making it easier for farmers to incorporate AgMRI insights into their existing operations. |
Pricing & Availability
Detailed pricing information can be obtained by contacting us via the Make inquiry button on this page. Pricing can be affected by factors such as the acreage covered, the frequency of data collection, and the level of support required. Contact us via the Make inquiry button on this page.
Support & Training
IntelinAir provides comprehensive support and training resources to help farmers get the most out of AgMRI. These resources include online documentation, video tutorials, and live webinars. The company also offers personalized support from experienced agronomists who can help farmers interpret the data and implement the insights effectively.
