By enhancing agricultural productivity using AI,
AIAA directly contributes to achieving food security and improved nutrition and promotes sustainable agriculture.
AI can help predict crop yields, manage pest control, and optimize resource use, thereby increasing food production.
SDG 9 - Industry, Innovation, and Infrastructure
The integration of AI into agriculture represents a significant innovation in agricultural practices. This supports building resilient infrastructure and fosters innovation, particularly in the context of Kenyan agriculture.
SDG 12 - Responsible Consumption and Production
AI technologies will enable more efficient use of resources in farming, such as water and soil nutrients, and reduce waste through precision agriculture techniques. This aligns with sustainable management and efficient use of natural resources.
SDG 13 - Climate Action
AI to aid in adapting agricultural practices to climate change and mitigating its impacts. This includes predicting climate-related risks, optimizing planting schedules, and developing climate-resilient crop varieties
SDG 15 - Life on Land
AI will contribute to sustainably managing forests, combating desertification, halting and reversing land degradation, and halting biodiversity loss. For example, AI-driven data can guide farmers on crop rotation and soil health to maintain land fertility.
SDG 17 - Partnerships for the Goals
Partnerships with tech companies, government agencies, NGOs, and international organizations will bring diverse expertise and resources together.
About Us
To enhance agricultural productivity and sustainability in Kenya by deploying artificial intelligence technologies that optimize farming practices, improve yield forecasts, and increase market accessibility for smallholder farmers.
SPECIFIC OBJECTIVES
1. Innovation Integration: Introduce AI-driven tools and techniques to 500 farms across Kenya by 2025 to increase crop yields and resource efficiency.
2. Education and Training: Develop and provide training programs for at least 10,000 farmers by 2025 on utilizing AI for sustainable farming practices.
3. Research and Development: Collaborate with agricultural and tech experts to innovate new AI applications tailored to the unique challenges of Kenyan agriculture.
4. Community Engagement: Establish a network of AI in Agriculture community hubs by 2025 to facilitate knowledge sharing and local engagement.
5. Policy Advocacy: Work with policymakers to shape an AI-inclusive regulatory framework that supports innovation while protecting farmers' interests.
6. Economic Empowerment: Increase the income of small-scale farmers by 30% through AI-enabled precision agriculture and market access tools by 2027.