GROPILOT

Scientific, technological, consultancy, and educational services relating to the agricultural industry, namely, analysis, research and design relating to agricultural productivity enhancement, crop analysis and predictive modeling for farm yield improvement, crop health and environmental impact assessments, comprehensive training, materials, support and consultation services for farmers and agricultural professionals relating to data management systems, platforms and digital agriculture solutions, and agricultural-specific market research, analysis and collaboration initiatives to identify trends, challenges and opportunities in the agricultural sector and providing assistance in the development of targeted solutions; Design and development of computer hardware and software solutions relating to the agricultural industry, namely, applications for enhancing farm management, productivity analysis and enhancement, crop analysis and predictive modeling for farm yield improvement, crop health and environmental impact assessments; Agricultural data integration and management services, namely, integration of diverse agricultural data sources and consolidation of data from various agricultural platforms, including satellite imagery, weather data, soil sensors, and farm machinery data into data management systems, platforms and digital agriculture solutions, designing and implementing unique connectors and connector patterns for seamless data integration, including scalability, security, and efficiency, and for use to connect and control Internet of Things (IoT) electronic devices, drones and agricultural technology to optimize use of resources and crop management, integrating and analyzing geospatial data to provide comprehensive agricultural insights, enhancing farm and agricultural planning and decision-making processes, and developing intuitive, user-friendly interfaces for farm data management that enable farmers and agribusinesses to access and analyze critical information; Software as a Service (SAAS) relating to the agricultural industry, namely, cloud-based software solutions for comprehensive agricultural data management, encompassing aspects such as soil quality, crop rotation, and sustainable farming practices, agricultural data management software featuring advanced capabilities for processing and interpreting a range of agricultural data to enable informed farming decisions; Platforms as a Service (PaaS) for the agricultural industry, namely, providing a robust software platform designed to assist in predictive analytics for farming outcomes, focusing on sustainable practices, pest control, and disease management in agriculture; Software maintenance and development services relating to the agricultural industry, namely, IoT solutions focusing on sustainable farming and precision agriculture technologies; Robotics, robotic services and automation relating to the agricultural industry, namely, robotic systems, services and automations for planting, harvesting, and farm management; and Artificial intelligence (AI) services and solutions relating to the agricultural industry, namely, AI-driven agricultural assistance to create interactive, intelligent solutions for agricultural queries, decision support, and farm management guidance, conversational AI and chatbot services powered by natural language processing (NLP) and machine learning, enabling farmers to access information and insights through simple, conversational interfaces, real-time analytics and predictive modeling services that implement AI algorithms for real-time data analysis and predictive modeling to assist in crop management, disease prevention, and yield forecasting, customizable AI solution services that tailor AI-powered tools to specific agricultural contexts, ensuring relevance and effectiveness for different farm sizes, crop types, and regional characteristics, and AI and blockchain solutions for agriculture services that offer cutting-edge services to farmers and agricultural professionals, focusing on innovative approaches to farm management, supply chain optimization, and agricultural data security