Abstract: Plant diseases seriously affect worldwide crop output, threatening food security and agricultural sustainability. This study solves these issues by introducing a hybrid machine learning ...
Abstract: There has been increasing concern about the phenomenon of leaf plant diseases over the last few years. Causes for the prevalence of the leaf plant diseases include climate changes and virus ...
Abstract: Agriculture plays an importance role in feeding the global population; thus, timely and accurate plant diseases diagnosis is crucial to yield protection. This research implements a hybrid ...
Abstract: Timed observation and accurate detection of plant diseases is vital for minimizing the damage to the crops and securing food for the long term, but particularly with cherry powdery mildew ...
Abstract: Identifying diseases in apple leaves plays a vital role in boosting farm productivity and preventing crop losses. This research introduces a comprehensive approach for classifying images of ...
Abstract: Leaf diseases pose a major threat to the productivity and quality of commercial crops in the coastal and Malnad regions, renowned for their diverse and high-value agricultural practices. In ...
Michelle Moffitt receives funding from the Hermon Slade Foundation. They are all susceptible to parasitic rust diseases caused by fungi. Plant rust disease can easily be spotted by the characteristic ...
Abstract: Banana farming is an important part of agriculture in South Asia. However, the crop is often affected by fungal leaf spot diseases such as Sigatoka, Cordana, and Pestalotiopsis, which reduce ...
Abstract: Leaf diseases are a major challenge for agricultural productivity, requiring accurate and efficient detection methods. This research presents an effective method for multi-class ...
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