Job Description

Join an innovative project at the intersection of agronomy and technology, developing an AI-powered mobile application that delivers crop-specific nutrition and fertilizer recommendations. This role focuses on building the intelligence and architecture of a decision support tool designed for farmers and agri-input professionals. The application leverages rule-based logic and machine learning models to generate tailored nutrient dosages and fertilizer suggestions, utilizing agronomic data such as crop variety, soil characteristics, irrigation methods, plant population, and target yield. The project is in its early build phase, emphasizing data validation and system architecture, with plans for mobile and cloud backend support, and future integration of soil tests, satellite data, and regional databases. This is an opportunity to shape a scalable product with significant impact in emerging agricultural markets.

Responsibilities

  • Design and implement AI-driven recomme...

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