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Are Convolutional Neural Networks (CNNs) still the most suitable solution for agricultural computer vision tasks such as plant species classification or disease detection? We could debate it since the technology revolutionizing natural language processing also makes waves in computer vision. Let’s talk about Transformers, which have achieved remarkable success in various computer vision tasks, competing […]
Often fine-tuning a deep neural network is more art than science/engineering. Which is the most optimal learning rate? How many layers shall we freeze? Should we use different learning rates depending on the layer? Most of the time, many of these questions are solved by trial and error (and some AutoML). Would it be a […]
During the last years, the tendency for applying transfer learning was to directly fine-tune the ImageNet weights in the new domain problem where (usually) there was a lack of images available for training. However, a new trend has arisen recently; in this case, before fine-tuning, there is a previous step called pre-training where the neural […]
Artificial Intelligence, Machine Learning, Computer Vision: all of these sound like cool buzzwords, but what kind of problems can they help us with? Here we will try to present some classes of tasks that the aforementioned fields of study can help us tackle, both in the field and anywhere else. Image classificationYou give us a […]
One high-value crop that needs careful handling both throughout the growing season and during post-harvest care is broccoli. Broccoli heads are still plucked by hand since they are easily damaged. Moreover, to harvest broccoli plants when they are in their best condition, human scouting is also needed to initially locate the field segments where multiple […]
We know deep learning is one of the main techniques to achieve state-of-the-art performances in computer vision methods applied to agriculture. However, this technique requires very large datasets (thousands of images) so that the automatic feature extraction can work accurately, generalize and not overfit. What can be done if we have a small dataset? There are […]