Protecting crop yields is the most important aspect of agricultural production, and one of the
important measures in preserving yields is the control of crop pests and diseases; therefore …

Tomato plants' disease detection and classification at the earliest stage can save the farmers
from expensive crop sprays and can assist in increasing the food quantity. Although …

Over the years, numerous studies have been conducted on the integration of computer
vision and machine learning in plant disease detection. However, these conventional …

Diseases, insects and weeds together hinders the crop productivity and destroy crops. A
vital point that needs to be tackled for economic growth and product development is …

The yield of crops has a significant impact on economic and social development. It is
significant to ensure the healthy growth of crops. Leaves can represent the growth of crops …

Ear count serves as a crucial parameter for estimating wheat yield, holding great
significance in crop phenotypic parameter calculations, yield predictions and wheat ear …

The agriculture industry contributes most to expanding economies and populations, but
plant diseases restrict the food production. Utilising an automatic detection method, early …

Agriculture significantly influences people's daily lives and financial well-being, making it
crucial to enhance crop productivity. Recognising and preventing plant diseases are vital in …

The research on maize diseases is described in this study of current literature. The most
valuable findings are extracted from researchers' previous work and presented in a …

The use of deep learning in plant disease recognition can help to avoid the drawbacks of
artificially selecting disease spot features. Existing system lacks real time detection of plant …