Bitwise Agronomy GreenView is a cutting-edge agricultural technology that leverages the power of computer vision, machine learning, and artificial intelligence (AI) to provide highly accurate crop yield estimates for berry and grape growers. Developed by the innovative team at Bitwise Agronomy, GreenView empowers growers to capture meaningful data, enabling better farm management and more informed decision-making. With GreenView, farmers can optimize their operations, reduce crop loss, and improve fruit quality.
GreenView offers a farmer-first approach, focusing on the specific needs of berry and grape growers. It integrates easily with existing farm machinery and processes, minimizing the need for additional equipment costs. By delving deep into the plant level, GreenView counts and measures individual pieces of fruit that cannot be seen from a top-down view, providing a comprehensive understanding of crop development.
The GreenView AI system sees what an agronomist sees—at superhuman speed. It combines high-speed counts with over 200 ripening curves, tailored to 60+ berry varieties and customized for the farm, block, and microclimate. This allows for highly accurate yield predictions, enabling growers to make informed decisions about labor, harvest planning, and resource allocation.
Key Features
GreenView's AI-Driven Yield Estimation utilizes computer vision, machine learning, and AI to provide accurate crop yield estimates for berry and grape growers, achieving over 90% forecasting accuracy. This allows farmers to make data-driven decisions about harvest timing, labor allocation, and marketing strategies.
The system delivers plant-level insights by counting and measuring individual pieces of fruit, providing detailed information on berry and bunch number, shoot length, and fruit ripeness. This level of detail enables growers to identify areas of the farm that are underperforming and take corrective action.
Customized Ripening Curves incorporate over 200 ripening curves tailored to 60+ berry varieties, customized for each farm, block, and microclimate, ensuring precise yield predictions. This feature allows growers to optimize harvest timing and ensure that fruit is picked at its peak ripeness.
Integration with Existing Machinery allows GreenView to easily integrate with existing farm machinery using GoPro cameras for side-on video footage capture, minimizing additional equipment costs. This makes the system accessible to a wide range of growers, regardless of their existing infrastructure.
Technical Specifications
| Specification | Value |
|---|---|
| Forecasting Accuracy | 90%+ |
| Plant Count Speed | 2000+ plants/hour (blueberries) |
| Data Capture Method | Side-on video footage |
| Camera Compatibility | GoPro or smartphone |
| Ripening Curves | 200+ |
| Berry Varieties Supported | 60+ |
| Data Delivery | GreenView Go app |
| Customization | Farm, block, and microclimate specific |
| Analysis | Berry and bunch number, shoot length, and fruit ripeness |
| Connectivity | SD Card, Laptop Upload |
Use Cases & Applications
- Crop Yield Forecasting: GreenView provides accurate crop yield estimates, enabling growers to forecast their production and make informed decisions about marketing and sales.
- Labor Management: By predicting crop yields, GreenView helps growers to manage their labor requirements more effectively, ensuring that they have enough workers on hand to harvest the crop at its peak.
- Crop Loss Reduction: GreenView helps growers to identify and address potential problems early on, reducing crop loss due to pests, diseases, or weather events.
- Fruit Quality Improvement: By providing detailed information on fruit ripeness, GreenView helps growers to optimize harvest timing and ensure that fruit is picked at its peak quality.
- Pest and Disease Prediction: GreenView can help predict pest outbreaks and disease risks by analyzing plant health data, enabling growers to take preventative measures.
Strengths & Weaknesses
| Strengths ✅ | Weaknesses ⚠️ |
|---|---|
| High accuracy (90%+) in yield predictions | Requires initial setup and data upload |
| Plant-level insights provide detailed information | Dependent on clear video footage from cameras |
| Integrates with existing farm machinery | Pricing may be a barrier for smaller farms |
| Customized ripening curves for precise predictions | Requires overnight data upload |
| Real-time data available in the field | No official product website found |
| Helps optimize labor and reduce crop loss |
Benefits for Farmers
GreenView offers significant time savings by automating the process of crop yield estimation. It reduces costs by optimizing labor allocation and minimizing crop loss. The system improves yield by enabling growers to make data-driven decisions about harvest timing and resource allocation. Finally, GreenView promotes sustainability by helping growers to use resources more efficiently and reduce their environmental impact.
Integration & Compatibility
GreenView is designed to integrate seamlessly into existing farm operations. It uses standard GoPro or smartphone cameras, which can be easily attached to existing farm machinery. The data can be exported for use in other farm management software, allowing growers to leverage their existing technology investments.
Frequently Asked Questions
| Question | Answer |
|---|---|
| How does this product work? | GreenView uses computer vision, machine learning, and AI to estimate crop yield. It analyzes side-on footage of crops captured by a GoPro or smartphone camera attached to existing farm machinery, generating a report for growers with data on berry and bunch number, shoot length, and fruit ripeness. |
| What is the typical ROI? | GreenView enables data-driven decisions for improved farm management and profitability. It helps in forecasting crop yields, managing labor requirements, reducing crop loss, improving fruit quality, and optimizing harvest planning. |
| What setup is required? | GreenView integrates with existing farm machinery using a GoPro or smartphone camera for side-on video footage capture. The SD card is then taken out of the camera and put into a laptop. Videos are dragged over into a folder structure and uploaded overnight into the portal. |
| What maintenance is needed? | The system requires regular checks of the camera equipment and ensuring proper data upload. The AI models are continuously updated by Bitwise Agronomy to maintain accuracy. |
| Is training required to use this? | While the system is designed to be user-friendly, some training may be beneficial to fully leverage its features. Bitwise Agronomy offers support and resources to help farmers get the most out of GreenView. |
| What systems does it integrate with? | GreenView is designed to integrate with existing farm machinery and data management practices. The data can be exported for use in other farm management software. |
| What crops does GreenView support? | GreenView primarily targets berries, including blueberries, strawberries, raspberries, and blackberries, as well as grapes, including wine grapes and table grapes. |
| How accurate are the yield predictions? | GreenView delivers 90% or better accuracy in yield predictions, thanks to its advanced AI algorithms and customized ripening curves. |
Pricing & Availability
Indicative price: 175,000 USD. Pricing varies depending on the features and functionality needed. To learn more about specific pricing options and availability, contact us via the Make inquiry button on this page.
