Abstract: With the continued advancement of agricultural intelligence, automation, and mechanization, artificial intelligence-driven fruit detection technology has developed rapidly. As an important ...

Abstract: The process of identifying fruit involves identifying and categorizing the final product only based on its physical characteristics, such as color, shape, size, texture, and sample. The use ...

It's ironic … in order for farmers to know if their fruit is ripe, they regularly have to pick and analyze pieces of that fruit, reducing their yields. Utilizing a new technique, however, they could ...

Researchers developed a new fruit detector, YOLOcF, and a corresponding dataset, CFruit, to improve fruit detection in real-world agricultural settings YOLOcF achieved comparable accuracy to ...

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1 Agricultural Machinery Research Institute, Chinese Academy of Tropical Agricultural Sciences, Zhanjiang, Guangdong, China 2 Key Laboratory of Tropical Agricultural Machinery, Ministry of Agriculture ...

Researchers at JECRC University in Jaipur used advanced AI to detect citrus plant diseases from images Their deep learning models InceptionV3 and DenseNet121 accurately identified diseases with over ...

Debugging can truly get on your nerves at times. But that’s part of our job—sometimes more than actual coding itself. Imagine writing a prime number checker, only to find out it’s identifying ...