Tomato leaves can have different diseases which can affect harvest performance. Therefore,
accurate classification for the early detection of disease for treatment is very important. This …

Precision farming technologies refer to a set of cutting-edge tools and strategies
implemented to optimize the management of the plantation. Smart meter devices, Internet of …

Corn is one of the main food crops in China, and its area ranks in the top three in the world.
However, the corn leaf disease has seriously affected the yield and quality of corn. To …

Potato diseases such as early and late blight are the most lethal diseases that can cause
significant damage to potato production. Detecting these diseases early and making a …

Given that it provides nourishment for more than half of humanity, rice is regarded as one of
the most significant plants in the world in agriculture. The quantity and quality of the product …

This review paper investigates the utilization of Convolutional Neural Networks (CNNs) for
disease detection in potato agriculture, highlighting their pivotal role in efficiently analyzing …

Recently, several plant pathogens have become more active due to temperature increases
arising from climate change, which has caused damage to various crops. If climate change …

Detecting sugar beetroot crops with mechanical damage using machine learning methods is
necessary for fine-tuning beet harvester units. The Agrifac HEXX TRAXX harvester with an …

Fusarium head blight (FHB) disease reduces wheat yield and quality. Breeding wheat
varieties with resistance genes is an effective way to reduce the impact of this disease. This …

Diseases of tomato leaves can seriously damage crop yield and financial rewards. The
timely and accurate detection of tomato diseases is a major challenge in agriculture. Hence …