LDRI aims to enhance farm productivity and food security by developing an AI-based early warning system. This system will use hyperlocal geo-referenced data and high-resolution satellite imagery and language models to generate localized and individualized advisory content in multiple local languages (English, Kiswahili, Kikuyu, and Embu) on good agricultural practices, pest and disease management, and tailored crop management education for farmers. The system will support precision agriculture and provide climate-smart farming recommendations to improve resilience and sustainability in agricultural practices.

Responsibilities:

• Supervise farm workers and coordinate planting, cultivation, and harvesting.
• Implement sustainable farming practices.
• Maintain records of farm activities.
• Conduct weekly visits and report on farm activities.
• Register agrovets and collect input prices.
• Train and support champion farmers in registering agrovets.
• Collect and submit rainfall data.

Qualifications:

• Bachelor’s degree in agriculture or related field.
• 3-5 years of experience in crop production and supervisory roles.