The problem Agro AI solves

Many farmers still rely on traditional irrigation methods that are inefficient and wasteful.
Lack of proper irrigation techniques leads to water scarcity and reduced crop yields.
Farmers face challenges in predicting and adapting to changing weather patterns.
Unpredictable weather events such as droughts or floods can have a significant impact on crop production.
Many farmers lack access to real-time data and insights for making informed decisions.
Without data-driven crop recommendations, farmers may struggle to optimize their farming practices.
Small-scale farmers often face challenges in accessing markets and getting fair prices for their produce.
Lack of market information and infrastructure hinders their ability to sell their crops effectively.

Challenges we ran into

Dynamic Water Demand : Developing a system that can accurately predict and respond to fluctuating water demand in irrigation networks.
Real-time Data Integration : Integrating real-time data from various sources to inform decision-making and optimize water release.
Algorithm Precision : Creating algorithms that can accurately calculate and adjust water release rates based on demand and network conditions.
Valve Control Mechanism : Designing a reliable and efficient valve control mechanism that can regulate water release in a precise and timely manner.
Adaptability : Developing a system that can adapt to different irrigation network configurations and conditions.
User-friendly Interface : Creating an intuitive and easy-to-use interface for farmers and irrigation system operators to interact with the automatic regulation system.
Economic Viability : Ensuring that the cost of implementing and maintaining the automatic regulation system is economically viable for farmers and irrigation system operators.