Yes. Although Agsight's trial solutions are currently geographically restricted for small- to medium-sized specialty crop farmers in central California — such as orchards and vineyards — an international solution is set to launch soon in Q3 2024.

To ensure adherence to GDPR and CCPA, we’ve ensured farmers' data is completely anonymized and encrypted to ensure confidentiality and security, and access to sensitive information is restricted. Additionally, we offer transparent data usage policies and provide farmers with full control over their data, including the ability to opt out of certain data collection activities if desired.

There are 2 main types of barriers we considered to the scalability of Agsight: Technological and intellectual. For smaller farms with limited technological infrastructure, we offer a lightweight, mobile-first application that can be accessed on basic smartphones with minimal data requirements. This means even farmers in remote areas with poor internet connectivity can benefit from our platform with just their phone. Additionally, our platform is modular, allowing farmers to customize their experience by selecting only the features that are relevant to their operations. Intellectually, the app offers an in-depth tutorial or walk-through for farmers affected by the Digital Divide. We’ve validated this by testing our solution with 12 real California farmers and viticulturalists on 73 different types of crops and fields.

As soon as you open Agsight, one of the first things they’re prompted to do is to input their farm’s location, they’re crops grown, and the locations in which they’re grown. Using convolutional neural networks to identify and segment fields from satellite imagery, the app ensures we give personalized insights for each farmers, regardless of the scale of your farm. If your location, for example, a home garden or greenhouse, isn’t visible from satellite imagery, we’re currently working on a feature that extrapolates these same insights from a 360 degree photographic analysis of the location and the plants, which helps us infer climatic, spatial, and crop data.

Agsight addresses a wide range of agricultural challenges, including:

• Salinization: Identifies areas with high salt levels in soil and recommends appropriate soil treatments and crop choices.
• Soil tillage: Provides guidance on optimal tillage practices to maintain soil health and improve crop yield.
• Irrigation: Optimizes water use by providing precise irrigation schedules based on weather forecasts and soil moisture levels.
• Invasive species: Detects the presence of invasive species and suggests management and control strategies.
• Pests and diseases: Diagnoses plant diseases and pest infestations through image analysis and recommends effective treatment methods.
• Nutrient deficiencies: Identifies nutrient deficiencies in crops and provides fertilization recommendations to ensure balanced soil nutrition.
• Crop rotation planning: Suggests crop rotation schemes to prevent soil depletion and manage pest populations.
• Yield prediction: Estimates crop yield based on current conditions and historical data, helping with planning and resource allocation.
  Sustainability Practices: Evaluates and improves sustainability practices, potentially earning carbon credits and enhancing environmental impact.

Planned commercial subscription model (2025):

The lower range of our competitors’ pricing is around $150 for highly siloed features. For example, integrated solutions like Climate Corporation's FieldView™ requires a $799 payment for fragmented analyses of crop performance, field health, and fertility protection, providing data—but not solutions—for specific issues like pest infestations or diagnosing root causes of crop stresses. Given it also requires a bluetooth sensor and iPad® with performant internet, this creates high adoption barriers for customers. This approach isn't cost-effective for small, resource-constrained farms—90% of the agricultural community—either burdening farmers with manual data inputs  or inaccessible to them in the first place.

Agsight plans to partner with carbon credit agencies to enable users to earn credits for reaching specific carbon footprint and sustainability milestones.  

By cleverly integrating existing data sources and machine learning technology, we eliminate the need for expensive hardware installations and ongoing maintenance costs, especially in areas without access to them. Our current trial runs are currently being distributed on a pro bono basis, but our subscription model when commercializing our solution will revolve around generating revenue through subscription-based pricing from subscription fees  paid by users to access Agsight's features and services. The pricing structure is designed to be affordable and scalable, with 3 different subscription tiers offering varying levels of functionality and support. We expect to commercialize starting 2025.

Simply put, Agsight uses machine learning models to analyze weather data, soil moisture levels, and crop water needs. It then generates precise irrigation schedules and recommendations to ensure efficient water usage, reducing waste and optimizing crop growth.

Although Agsight is not published on the App Store, you can trial it by beta testing or by accessing the app through a private link or invitation. We distribute the app directly to farmers who are interested in participating in the trial, providing them with instructions on how to download and install it on their devices. Additionally, we offer personalized support and guidance throughout the trial period to ensure that farmers are able to effectively use the app and provide feedback on its functionality and performance.

The reason why we’re still in the trialing stage is to help validate our app among real-life farms and make improvements before releasing it to the broader community. A commercial enterprise version for our app is currently being researched and validated, and we expect this feature to be publicized in Q4 2025 or Q1 2026.