The Yield offers a cloud‑native precision yield management platform that consolidates farm data, ERP systems, sensor inputs, and weather information into AI/ML models delivering hyper‑accurate forecasts of yield quantity, quality, and timing. Results are provided via a web analytics portal and a mobile app with on‑farm playbooks, KPI dashboards, and open APIs for integration, while preserving full data ownership for specialty‑crop growers and related agrifood businesses.
Funding
$7.1M 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.
YMFounders
Product
Problem
Agrifood businesses often operate with fragmented, siloed data and lack reliable, high‑resolution yield forecasts, making it difficult to plan planting, spraying, thinning, and harvest activities while managing weather‑related risks.
Solution
The Yield delivers a cloud‑native Precision Yield Management platform that unifies pre‑farm, on‑farm, and post‑farm data into a single model and applies AI/ML algorithms to generate hyper‑accurate predictions of yield quantity, quality, and timing. Integrated weather and micro‑climate inputs keep forecasts responsive to real‑time conditions. Results are presented through a web‑based analytics portal and a mobile app that provide on‑farm playbooks, KPI dashboards, and actionable recommendations. The platform is open via APIs, allowing seamless integration with existing farm management systems, ERP, and sensor networks, while preserving full data ownership for the customer.
Target Audience
Primary customers are specialty‑crop growers, processors/packers, and marketers, as well as agrifood input suppliers and software vendors serving wine, apple, and similar high‑value crops.
Features
- Unified data ingestion engine that normalizes spreadsheets, farm‑management software, ERP, remote sensors, and robotics into a standard data model.
- Weather layer combining global gridded data, public stations, and optional on‑site micro‑climate stations for ultra‑local forecasts.
- AI/ML models (trained on >100,000 acres) delivering yield quantity, quality, harvest timing, and growth‑stage predictions, updated bi‑weekly.
- Mobile application built with Microsoft MAUI delivering dynamic on‑farm playbooks and real‑time recommendations for thinning, spray scheduling, irrigation, and harvest planning.
- Web analytics portal powered by Tableau offering customizable KPI dashboards, historical trend analysis, and scenario modeling.
- Dynamic configurator with a rules engine that lets users tailor thresholds and decision logic without code changes.
- Subscription library of pre‑configured playbooks, AI models, and BI dashboards that evolve with new data and research.
- ProAnalytics professional services for data curation, custom model development, and end‑to‑end deployment on a Kubernetes‑based Azure Databricks stack (Python, Azure ML).
- Open RESTful APIs and data connectors enabling integration with third‑party weather services, remote‑sensing platforms, and agrifood software vendors.
- Enterprise‑grade security and role‑based access controls ensuring data privacy and compliance.