Back to blog home

🌲 Machine Learning in Agriculture: Scaling AI for Crop Management with Dror Haor

Co-Founder & CEO of DAGsHub. Building the home for data science collaboration. Interested in machine learning, physics and philosophy. Join https://DAGsHub.com | DagsHub Co-Founder & CEO

Take control of your multimodal data

Curate and annotate datasets, track experiments, and manage models on a single platform.

Get started
Table of Contents
    Share This Article

    In this episode, Dean speaks with Dror Haor, CTO at SeeTree, about the challenges of deploying AI in agriculture at scale. They explore how SeeTree integrates AI and sensor fusion to manage vast amounts of remote sensing data, helping farmers improve crop yields with high accuracy at low costs. Dror shares insights on handling data drift, customizing models for different regions, and balancing the trade-offs between cost and performance. This conversation dives deep into practical machine learning applications in agriculture, offering valuable lessons for anyone working with large-scale data and AI.

    Watch the Video

    Listen to the Audio