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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 […]
Arable crops are, undoubtedly, of great economic and social importance for the EU, as half of the total area is used for cereal cultivation. Interestingly, in 2017 the EU produced 309.9 million tonnes of cereals (which is almost 11.9 % of the global harvest) like wheat, maize, barley, rye, and oats, but also rice. However, […]
In today’s agriculture, nature protection, and cost efficiency are the two most important aspects. By applying precision farming methods, it is possible to implement the mentioned features. In addition to the production of high-quality and high-quantity crops, the rate of return can also be improved by reducing expenses. Seed, fertilizer, and plant protection agents applied […]
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 […]
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 […]
Over the past decades, agricultural sciences relied principally on reflectance (in the visible, VIS, 0.4–0.7 μm, near-infrared, NIR, 0.7–1.3 μm and short wave-infrared, SWIR, 1.3–2.5 μm regions), thermal (in the thermal infrared, TIR 7.0–20.0 μm region) and fluorescence (at 0.68 and 0.74 μm wavelengths) sensors. Depending on the application, these sensors can be used for […]