By combining IoT and AI technologies, TMA Solutions has developed various innovative agritech solutions
TMA Solutions has partnered with True IDC, a leading cloud service provider to deliver AI as a service (AIaaS).
Mr. Hong Tran, Senior Vice President of TMA Solutions, said “By combining TMA Solutions’ expertise in AI technology with True IDC’s cloud infrastructure and services, we will create a powerful AI solutions ecosystem, enabling businesses quickly and easily adopt AI solutions without investing on expensive AI servers, thereby enhancing their competitiveness and fostering innovation.”
By leveraging TMA Solutions’ extensive experience in AI deployment and the capabilities of True IDC cloud services, customers will benefit from:
- Rapid Deployment: Easy access to AI as a service (AIaaS) solution and service.
- Cost Savings: No need to invest in high-cost AI servers.
- Industry-Specific AI Solutions: From chatbots and data analytics to custom AI applications designed for the unique needs of various industries.
- Professional Support: Expert guidance and assistance throughout the implementation journey.
TMA Solutions offers AI-driven solutions across diverse industries, designed to support businesses in their digital transformation journey. These solutions empower organizations to fully leverage the potential of cloud computing through our Go Digital, Go Cloud, Go Smart, Go Automation, Go AI initiatives.
AI as a Service for Agriculture
By combining IoT and AI technologies, TMA Solutions has developed various innovative agritech solutions, from product integrity, environment monitoring to supply chain. A recent solution is an AI-powered Pest Detection System to help farmers detect pests and safeguard crop yields. This system uses AI and IoT to automatically detect and classify harmful insects, providing real-time notifications to farmers for more targeted pesticide use. By integrating a mobile app, farmers can upload images for disease diagnosis and receive timely alerts. This solution improves crop management by increasing accuracy, reducing labor costs, and enhancing productivity, ultimately leading to healthier crops, higher yields, and more sustainable farming practices.
