Legal Representation
Attorney
Robert C. Cumbow
Application History
2 eventsDate | Code | Type | Description |
---|---|---|---|
Apr 11, 2025 | MAFR | O | APPLICATION FILING RECEIPT MAILED |
Apr 11, 2025 | NWAP | I | NEW APPLICATION ENTERED |
Detailed Classifications
Class 042
Software as a service (SAAS) services featuring software for providing a comprehensive digital platform that enables farmers to efficiently manage day-to-day agricultural operations, namely, tools for crop planning, field management, task tracking, and resource allocation, streamlining operational workflows and improving farm productivity through enhanced precision and decision-making capabilities; Software as a service (SAAS) services featuring software for centralizing and integrating diverse agricultural data sources for precise monitoring and analysis of production metrics , including soil analytics, yield data, weather forecasts, and equipment telematics to optimize resource utilization, enhance yield outcomes, and proactively manage risks; Software as a service (SAAS) services featuring software for predictive analytics and optimizing farm input ordering and streamlining the agricultural supply chain by predicting demand based on historical data, seasonal variability, and real-time agronomic insights; Software as a service (SAAS) services featuring software for facilitating accurate input procurement, reducing waste, and enhancing overall operational efficiency for both farmers and retailers; Software as a service (SAAS) services featuring software for supporting sustainability initiatives by providing detailed tracking of resource use efficiency, environmental impact metrics, and carbon footprint data, enabling farmers to meet sustainability goals and verify their agricultural practices for market differentiation; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for optimizing farm input ordering and streamlining the agricultural supply chain by predicting demand based on historical data, seasonal variability, and real-time agronomic insights, facilitating accurate input procurement, reducing waste, and enhancing overall operational efficiency for both farmers and retailers; Artificial intelligence as a service (AIAAS) services featuring software using artificial intelligence (AI) for delivering tailored insights and recommendations, improving crop performance, resource allocation, and strategic planning
Classification
International Classes
042