Stomata are vital for regulating water and carbon dioxide in plants, affecting photosynthesis. Traditional stomata analysis was manual and error-prone, but deep learning (DL) methods, such as DCNN, have been introduced for ...
In the quest for precision farming, accurately detecting wheat spikes through phenotyping is critical, with deep learning models emerging as a promising tool.
"Why isn't it a beautiful thing?" a puzzled Sharath Keshava Narayana asked of his AI device masking accents.
A study led by the University of Oxford has used the power of machine learning to overcome a key challenge affecting quantum devices. For the first time, the findings reveal a way to close the "reality gap": the difference ...
Researchers from Queen Mary University of London have revealed how sociocultural factors, in addition to geography, play a significant role in shaping the genetic diversity of modern societies. The research published in eLife ...
Accurate quantification of multi-animal behavior plays a pivotal role in unraveling the intricacies of animal social interactions with far-reaching applications in neuroscience and ecology.
Light, as an electromagnetic field, has two essential components: amplitude and phase. However, optical detectors, usually relying on photon-to-electron conversion (such as charge-coupled device sensors and the human eye), ...
Biology and medical researchers use spatial transcriptomics (ST) technologies to detect transcription levels in cells, predict cell types and build a tissue's three-dimensional (3D) structure. However, this analysis can be ...
Recent advancements in agricultural computer vision have heavily relied on deep learning models, which, despite their success in general tasks, often lack agricultural-specific fine-tuning. This results in increased training ...
Berry thinning is crucial for cultivating high-quality table grapes, traditionally carried out by skilled laborers who are becoming scarce due to an aging population. To address the labor-intensive and time-consuming process, ...
