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Our Archive

Our Archive

tablet use on the field for agricultural purposes

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 […]

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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 […]

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tomato harvest

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 […]

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Precision agriculture (PA) is not a new trend. As we can observe from many cultivation systems around the world, a lot of producers have adopted precision agriculture technologies on a high scale and are familiar with them. Many technologies have been developed and are already mature to solve crucial matters that concern many producers and […]

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image created by dahlee ai showcasing tractors

The webs have been buzzing with the new shiny technology, ChatGPT – it managed to create even more noise than its previous version, GPT-3. Both are large language models (Generative Pre-trained Transformers) developed by OpenAI and have been trained on massive text datasets, which allows them to generate human-like text in a wide range of […]

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The agri-food industry is currently facing a severe shortage of labor resources. This is a significant challenge as manual labor is crucial for crop protection and harvesting. In the past 15 years, there has been a 30% decrease in the agricultural workforce which is expected to continue to decline at a rate of 2% per […]

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Imagine that you have trained several models to find the most suitable one for your application and the one that obtained the best performance is also the largest. And, additionally, the slowest one at inference time. This problem is rather common. Very large models that fit the training objectives, but often fail to meet latency, […]

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big green tractor

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 […]

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