Stay one step ahead of diseases, pests, and
weeds.
In agriculture, computer vision offers early detection of issues, allowing you to respond quickly and optimize crop health.
Identify Plants and Weeds
Stress in Crops and Plant Diseases
Field Management
Produce Grading and Sorting
Build a trained model in hours, not weeks.
AiPanthers works smoothly with major labelling services and training tools.
Boost Your Analysis with Public Datasets
You can play with computer vision even if you don't have your own images. AiPanthers gives users access to a variety of public datasets, including PlantDoc, which contains 2,598 photos used for object detection to help identify plant diseases.
AI and computer vision enhance robotics.
By combining computer vision, artificial intelligence, and robotics, we can give farmers with advanced tools to improve their capacities. This technology enables them to make data-driven decisions, which increases crop yields and optimizes resource utilization.
Keep Improving Your Model After Deployment
aipanters provides a centralized platform for handling datasets, allowing for easy model deployment and scalability as data grows. Easily recognize new species, fine-tune configurations, and experiment with different labeling and training choices.
Improve model performance with minimal data.
AiPanthers: Unleashing the Potential of Your Training Data
Tiling
Divide your high-resolution photos into smaller, more manageable segments. This crucial preprocessing step significantly improves your model's capability to detect minute objects, subtle patterns, and intricate details. By breaking down images, you enhance the precision of plant identification and ensure more effective monitoring and analysis of crop health.
Augmentations
Transform your existing source photographs by simulating diverse weather conditions and times of day to create augmented versions. This powerful strategy effectively enlarges your training dataset, improving model accuracy and robustness, all while eliminating the need for additional photo uploads. By leveraging these augmented images, you can achieve a more comprehensive and versatile dataset that enhances your AI models' performance and adaptability
Version Control
Divide your high-resolution photos into smaller segments as a crucial preprocessing step. This enhances your model's ability to detect minute items, intricate patterns, and fine details, which is essential for accurate plant identification and analysis.
Advanced Health Check
Enhance your existing source photographs by simulating various weather conditions and times of day. This approach not only expands your training dataset but also improves the robustness of your model, all without the need for additional photos.