The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …

Globally, all the major crops are significantly affected by diseases every year, as manual
inspection across diverse fields is time-consuming, tedious, and requires expert knowledge …

Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

Plant diseases are the main factors affecting the agricultural production. At present,
improving the efficiency of plant disease identification in natural scenarios is a crucial issue …

Plant diseases are the primary cause of crop losses globally, which have an impact on the
world economy. To deal with these issues, new agriculture solutions are evolving that …

Early diagnosis of plant diseases is of vital importance since they cause social, ecological,
and economic losses. Therefore, it is highly complex and causes excessive workload and …

In the late 2010s, artificial intelligence (AI) technologies became complementary to the
research areas of food science and nutrition. This review aims to summarize these …

Plant diseases are the primary cause of crop losses globally, with an impact on the world
economy. To deal with these issues, smart agriculture solutions are evolving that combine …

Plant pests and diseases are a significant threat to almost all major types of plants and
global food security. Traditional inspection across different plant fields is time-consuming …

Deep learning is thought of as a promising mean to identify maize diseases. However, the
drawback of deep learning is the huge sample data and low accuracy. In this paper, we …