Agrismart

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Agrismart integrates AI and IoT sensors to deliver real-time farming insights to farmers. These insights include weather forecasting, soil health, and pest control, helping farmers make more informed decisions. Our project is designed to improve food security by making farming smarter and more sustainable.

Agrismart is built with farmers in mind, helping them make data-backed decisions that lead to better crop yields and reduced environmental impact. We use IoT sensors that are embedded in the soil to provide real-time data on moisture levels, nutrient deficiencies, and pest threats. By connecting this data to a cloud platform powered by AI, we offer farmers an easy-to-understand dashboard with recommendations on when to water, fertilize, or harvest. Our goal is to help farmers not only increase their productivity but also minimize resource waste, thus contributing to the fight against climate change.

Project Overview._

Emily Mwangi: Data Scientist – Focuses on AI integration and data analytics.
Samuel Omondi: IoT Specialist – In charge of implementing and maintaining sensor technology.
Rachel Kimani: Logistics Consultant – Offers insights on improving logistics and supply chain efficiency.
Alex Njoroge: Project Manager – Oversees project execution and team coordination.
Dennis Wanjohi: Environmental Impact Analyst – Ensures the project is aligned with sustainability goals.

October 2024: Pilot tests successfully completed with two logistics companies. Results show a 20% improvement in delivery efficiency and a 15% reduction in CO2 emissions.
September 2024: Featured in Tech Innovation Kenya magazine as one of the top 10 startups to watch in 2025.
August 2024: Partnership secured with an environmental consultancy to evaluate LOOM’s long-term impact on urban sustainability.
July 2024: LOOM officially launched its prototype and began early trials with select logistics companies.

Here's What Makes Our project Stand out

Real-time Fleet Monitoring: Companies can track all vehicles in real time, ensuring efficient management and fast deliveries.
AI-Powered Route Optimization: Uses machine learning to predict the best routes, factoring in traffic and weather data.
Sustainability Focused: Reduces the carbon footprint by optimizing routes and lowering fuel consumption.
Customizable Dashboard: Logistics companies can tailor the interface to their needs, displaying the metrics most important to them.

AI for route optimization: Uses machine learning to calculate the most efficient routes for vehicles.
IoT for fleet tracking: Sensors installed on vehicles to gather real-time data on location, speed, and fuel consumption.
Blockchain for transparency: Ensuring secure, traceable records of goods during transit.
Big Data Analytics: Insights derived from data to forecast demand and improve decision-making.

Funding Goal and Updates:

Initial Funding Goal: KSh 2,000,000
Current Funding: KSh 800,000
Funding Milestones:KSh 500,000 raised through angel investors in September 2024.
KSh 300,000 raised through public crowdfunding in October 2024.

LOOM is seeking further investment to scale the platform, expand pilot tests, and improve its AI algorithms for better route optimization. Our next target is to raise KSh 1,200,000 to onboard additional logistics partners and fully integrate blockchain for secure transactions.