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innsikt - Agriculture Technology
LiDAR-Based Crop Row Detection Algorithm for Over-Canopy Autonomous Navigation in Agriculture Fields
A state-of-the-art LiDAR-based navigation system enables autonomous navigation in challenging row-crop fields without global localization.
Exploring Foundation Models in Smart Agriculture: Opportunities and Challenges
Large pre-trained models, known as foundation models (FMs), have the potential to revolutionize smart agriculture by offering versatile capabilities with minimal fine-tuning.
DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots
Introducing DAVIS-Ag, a dataset for active vision research in agriculture, facilitating prototyping and benchmarking.
Precision Agriculture: Crop Mapping with Machine Learning and Sentinel-2 Satellite Imagery
Utilizing deep learning and pixel-based methods for precise crop segmentation in lavender fields using Sentinel-2 satellite imagery.
Comparing ChatGPT and Claude for Agricultural Extension in Pakistan
The author compares the performance of ChatGPT and Claude as potential agricultural extension agents in Pakistan, highlighting their abilities and limitations.
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