IBM watsonx Assistant

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SHEKINAH

TechieAmehChris

Pine_Ionn9fh

_israel

Agriculture today faces critical challenges, including pest outbreaks and inefficient water usage due to a lack of real-time data. These issues lead to reduced productivity, resource wastage, and environmental impact. Farmers and agricultural businesses often struggle to access timely and actionable insights to address these challenges.  
This project leverages IBM watsonx to create an advanced conversational AI system tailored for precision agriculture. By integrating AI with IoT sensors, the system detects crop pests and monitors soil moisture levels in real time. Farmers can interact with the system via a user-friendly interface, receiving instant insights, recommendations, and alerts on pest risks or irrigation needs.  
Targeted at smallholder farmers, agribusinesses, and agricultural consultants, the solution offers unique benefits such as predictive pest analytics, and seamless data integration with mobile and web platforms. It empowers users to enhance crop health, reduce losses, optimize water use, and promote sustainable farming practices, ultimately driving agricultural innovation.


An AI-driven conversational system utilizing IBM watsonx for precision agriculture. It detects crop pests and tracks soil moisture, providing real-time insights to boost crop productivity, reduce waste, and support eco-friendly farming practices.

"SHEKINAH team on IBM watsonx Assistant Hackathon"

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