[MASSs] is powered by KIREAPs in-house developed Artificial Intelligence [AI] core - called Value Optimization Intelligence Core [VOICe].
Our proprietary machine learning algorithms will predict crop yields with accuracy, empowering better decision making capabilities.
Securing supply chain transparency with tamper-proof records that help in reducing wastage and in increasing efficiency.
Our advanced monitoring tools deliver actionable insights to optimize decision making and anticipate outcomes.
Sustainable logistics optimization (Capacity-time-place-cost-emission)
AI based forecasting of supply and demand
Blockchain based monitoring
Integrate yield prediction and quality data
AI based ‘expected’ price forecasting and benchmarking
The future of farming is taking a quantum leap!
The Agriculture value chain generates massive, complex data—from soil health and weather patterns to complex supply chains. Traditional computing often struggles to manage this scale, but quantum computing may offer the power to solve these challenges. By unlocking new efficiencies and insights, we can reduce waste, optimize resources, and drive sustainability in every link of the agricultural value chain. We are collaboration with the Cochin University of Science and Technology (CUSAT) on Quantum Algorithms, for a more sustainable future, one quantum bit at a time!
Periodic collection of data from satellites that gives us detailed crop monitoring and analysis through high-resolution imaging and specialized sensors.
Weather information enables to optimize planting schedules, predict crop stress, adjust irrigation timing
Multispectral imagery enables farmers to assess crop health, detect early signs of stress, identify nutrient deficiencies, and monitor growth patterns
Historical data serves as a foundation for remote sensing analysis by establishing baseline conditions, allowing comparison of current observations against past patterns, and enabling the detection of subtle changes in different parameters
