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In the evolving landscape of agronomy, integrating technology with traditional practices offers unprecedented benefits. Precision agriculture, especially, is transforming the meticulous care of vines and orchards, allowing for smarter, more sustainable interventions. Georeferencing: More than Just a Location Marker Georeferencing does more than just pinpoint locations—it meticulously logs actions and quantities. – For example, in […]
Modern soil survey tools and techniques are now widely available to farmers and consultants due to precision agriculture’s data requirements. The cost and speed of data collection are frequently more important than the precision and reliability of the information. Recently, a number of methods have been used to give soil data for site-specific nutrient management. […]
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, […]
Shoot thinning, or removal, is an essential practice in vineyard management. This process involves selectively removing some of the new growth (shoots) during the growing season. This is typically done in late spring or early summer, once the shoots have begun to grow but before they’ve become woody canes. BenefitsThe reasons for shoot thinning in […]
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 […]
Data interoperability refers to the capacity of different devices and systems to communicate and effectively exchange data with each other. In other words, it is the ability of data to be shared and used across different platforms or systems without any loss of information or functionality. By facilitating interoperability, we ensure that farmers, agronomists, and […]
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 […]
The world is currently struggling with a severe food crisis and millions of people around the globe are suffering from malnutrition. As a matter of fact, world hunger affects nearly 10% of people globally, not to mention that from 2019 to 2022 the number of people that are considered to be undernourished increased by 150 […]