Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...
Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...
Abstract: The worldwide consumption of food depends heavily on rice which serves as one of the essential crops required to sustain people worldwide. The agricultural production of rice faces ...
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: The manual identification of plant diseases through visual examination demands large amounts of labor while showing restricted accuracy and variable scope. The implementation of automatic ...
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 ...
Abstract: Dragon fruit is also known as red pitaya, a fruit of the cactus genus. Dragon fruit is known for its nutritional value and its high antioxidant capability. Dragon fruits can be cultivated ...
Abstract: Potato diseases pose a significant threat to global agricultural productivity, leading to severe economic losses. Early and accurate disease detection is crucial for effective disease ...
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