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Accurate and Efficient Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery

Autor: Khan, Asim, Nawaz, Umair, Ulhaq, Anwaar, Gondal, Iqbal, Javed, Sajid

Deforestation, a major contributor to climate change, poses detrimental consequences such as agricultural sector disruption, global warming, flash floods, and landslides. Conventional approaches to urban street tree inventory suffer from inaccuracies

Externí odkaz: http://arxiv.org/abs/2401.01180

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Early and Accurate Detection of Tomato Leaf Diseases Using TomFormer

Autor: Khan, Asim, Nawaz, Umair, Kshetrimayum, Lochan, Seneviratne, Lakmal, Hussain, Irfan

Tomato leaf diseases pose a significant challenge for tomato farmers, resulting in substantial reductions in crop productivity. The timely and precise identification of tomato leaf diseases is crucial for successfully implementing disease management

Externí odkaz: http://arxiv.org/abs/2312.16331

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Tomato Maturity Recognition with Convolutional Transformers

Autor: Khan, Asim, Hassan, Taimur, Shafay, Muhammad, Fahmy, Israa, Werghi, Naoufel, Seneviratne, Lakmal, Hussain, Irfan

Publikováno v: Sci Rep 13, 22885 (2023)

Tomatoes are a major crop worldwide, and accurately classifying their maturity is important for many agricultural applications, such as harvesting, grading, and quality control. In this paper, the authors propose a novel method for tomato maturity cl

Externí odkaz: http://arxiv.org/abs/2307.01530

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