Ai in Farming - Labellerr

Ai in Farming

A collection of 9 posts

what-industries-are-using-automated-labeling

Automated Data Labelling

How Industries Are Using Automated Labeling in 2025

Discover how industries like healthcare, autonomous vehicles, and retail are using automated labeling in 2025. AI-powered annotation speeds up data processing, enhances model accuracy, and improves efficiency in various sectors, enabling smarter automation and better decision-making.

data labeling important step for successful AI

Why Is Data Labeling Essential for AI Development?

Data labeling is critical for AI development as it provides the necessary annotations to train models effectively. Accurate labeled data ensures AI systems can recognize, classify, and interpret information, leading to better performance and more reliable outcomes.

70% Faster Harvesting with AI and Robotics in vertical farming

How Labellerr Empowered Oishii's AI Advancements in Vertical Farming

Learn how Labellerr's advanced methods improved image segmentation for strawberry-picking robots. This case study explains the innovative solutions that made these robots more accurate and efficient.

Root Detection on Logs in Sawmill Production

Bringing Computer Vision AI In Sawmill Industry

Root detection on logs in sawmill production ensures efficient operations by identifying defects, reducing waste, and enhancing timber quality and profitability.

7 Best Data Labeling Service Providers for Precision Agriculture in 2024

7 Best Data Labeling Service Providers for Precision Agriculture in 2024

The agricultural industry is undergoing a data revolution. Precision agriculture, a data-driven approach to farming, is transforming how we cultivate crops and raise livestock. At the heart of this transformation lies the need for high-quality, labeled data. Machine learning models power many precision agriculture applications, from disease detection and yield

7 Best Data Annotation Tools for Precision Agriculture in 2024

7 Best Data Annotation Tools for Precision Agriculture in 2024

Precision agriculture seeks to maximize crop yields while minimizing resources and environmental impact through data-driven decision-making. Central to this approach is the accurate and efficient labeling of agricultural data, a process that is important for training machine learning models that power precision agriculture technologies. In this blog, we will explore

Precise Fruit Disease Segmentation With Labellerr

Precise Fruit Disease Segmentation With Labellerr

According to a research conducted by the Food and Agriculture Organization of the United Nations (FAO), plant diseases cause 20-40% of global crop losses. Precise fruit disease identification provides a strong tool for mitigating these losses and increasing agricultural productivity. With the advancement of computer vision technology, particularly in the

Faster Image Labeling For Fruit Detection With Labellerr

Faster Image Labeling For Fruit Detection With Labellerr Using SAM

Table of Contents 1. Introduction 2. Challenge 3. Solution Using Labellerr for Fruit Detection in Trees 4. Conclusion 5. Frequently Asked Questions Introduction In precision agriculture, the ability to accurately detect and quantify fruits on trees has immense potential for revolutionizing farming practices. By using the power of computer vision,

Speed Up Food Grain Segmentation Annotation Using Labellerr

Speed Up Food Grain Segmentation Annotation Using Labellerr Using SAM

Introduction In modern agriculture, the ability to accurately segment and count food grains using computer vision technology marks a transformative change in precision farming. How to feed the growing population while protecting the environment from the negative consequences of climate change is a major challenge in agriculture. Food production and