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DIVYA NARAYAN

@divyanarayan

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Farmer Success Associate at KHEYTI, supporting greenhouse farmers and building an AI honey adulteration detector.

India

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What I'm looking for

I'm interested in sustainable agriculture and AgriTech innovation.

At KHEYTI, I onboard and train farmers in the Greenhouse Program, with a focus on greenhouse maintenance and protected cultivation. I also address agronomy-related questions to support farmers' adoption of best practices.

During my internship at ANNAM.AI, I applied Python and AI to agricultural challenges. I built a computer vision-based honey adulteration detector using binary classification.

For the detector, I created a dataset and trained Vision Transformer (ViT B16) and MobileNetV2 models. The project can be used to detect adulterated honey in the food supply chain.

My research examined crop productivity under rainfed agriculture in Raniganj Block, Araria District of Bihar. I surveyed 154 farmers, analyzed agricultural and socio-economic data, and developed recommendations for sustainable rainfed farming and better resource management.

Experience

Work history, roles, and key accomplishments

Current

Farmer Success Associate

Current

Kheyti

Dec 2025 - Present (9 months)

Onboarded and trained farmers in the Kheyti Greenhouse Program, focusing on greenhouse maintenance and protected cultivation practices. Addressed agronomy-related farmer queries, ensuring high levels of customer satisfaction and adoption of best practices.

Greenhouse Management Protected Agriculture Agronomy Farmer Engagement Customer Satisfaction

Intern

ANNAM.AI

Jun 2025 - Jul 2025 (1 month)

Applied artificial intelligence to real-world agricultural challenges, focusing on production-ready solutions using Python. Built a computer vision-based honey adulteration detector using binary classification with Vision Transformer and MobileNetV2 models.

Python Computer Vision Vision Transformer MobileNetV2 Classification Dataset Creation