---
title: Webinar Replay | Data Annotation in Agritech
---

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**Webinar**

# Data annotation in AgriTech: How to overcome challenges of complexity?

## A guide on how to scale data labeling, manage the required level of expertise & identify the various edge cases that come with Agritech

### Access the webinar

By 2050, the food demand is projected to skyrocket by 35%—56%. Fortunately, AI emerges as one of the pieces of the solution. However, there is still a major challenge: creating high-quality training data.

In the Agritech industry, we observe that the ML model’s performance heavily relies on leveraging subject matter expertise & identifying the wide variety of edge cases that nature offers. As a company working with ML teams from Agritech daily, we’re well aware it’s easier said than done.

To help you reach your objectives, we’re throwing a webinar from the learnings we’ve gained on industry-leading data labeling practices in Agritech. To benefit from insights on data labeling tactics for performing Agritech’s ML models: join us on the 8th of December!

In this 45-minute session, we will share insights on how to:

- manage the labeling ambiguity driven by nature’s inherent diversity;
- secure working with an outsourced workforce despite the extreme need for expertise;
- detect data-annotation mistakes continuously and efficiently.

![webinar-thumbnail-replay-agritech](https://8683572.fs1.hubspotusercontent-na1.net/hubfs/8683572/webinar-thumbnail-replay-agritech.png "webinar-thumbnail-replay-agritech")

![Screenshot 2022-09-01 at 18.12.58](https://8683572.fs1.hubspotusercontent-na1.net/hub/8683572/hubfs/Screenshot%202022-09-01%20at%2018.12.58.png?width=120&height=70&name=Screenshot%202022-09-01%20at%2018.12.58.png "Screenshot 2022-09-01 at 18.12.58")

**Labeling Platform for High-quality Data**

One tool to label, find and fix issues, simplify DataOps,

and dramatically accelerate the build of reliable AI

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## Team Member Name

![team-member](https://cdn2.hubspot.net/hubfs/5377389/theme/images/stock-images/team-member-1.png)

Team member bio information.