UF scientists are developing high‑tech, gene‑edited citrus varieties to help Florida growers fight citrus greening and speed solutions from lab to grove.
Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
Abstract: With the use of a combination of cutting-edge deep learning techniques, such as artificial neural networks, convolutional neural networks, and support vector machines, a unique method for ...
Abstract: India is the largest contributor of cotton production in the world but at recent times the cotton production has been decreased significantly due to various cotton plant diseases. The ...
1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia 2 All-Russian Institute of Plant Protection, Saint Petersburg, Russia However, despite rapid methodological advances, ...
Accurate detection of crop diseases from unmanned aerial vehicle (UAV) imagery is critical for precision agriculture. This task remains challenging due to the complex backgrounds, variable scales of ...
Abstract: Plant condition monitoring is one of the necessary tasks in the agriculture to confirm the yield. Recent agricultural monitoring procedures employed computerised-algorithms to automate ...
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