Rice is a crop that is consumed as a staple food by the majority of the people in the world
and therefore failure in rice crops, due to any reason, poses a severe threat of starvation …

Rice (Oryza sativa) being among the most important food crops in the world is also
susceptible to various bacterial and fungal diseases that are the major stumbling blocks in …

Although Convolutional neural networks (CNNs) are widely used for plant disease detection,
they require a large number of training samples when dealing with wide variety of …

Production and productivity of rice is reduced due to the emerging disease grain
discoloration. The disease is a complex symptom due to the association of a number of …

Rice (Oryza sativa L) being one of the imperative food crops of the word contributes
immensely to the food and nutritional security of India. The cultivation of rice is changed over …

Rice false smut, which is caused by the soil-borne fungal pathogen Ustilaginoidea virens (U.
virens), is one of the most threatening diseases in most of the rice-growing countries …

Innovation is of fundamental importance for improving food production, as well as
sustainability food production. Since 1960, food production has benefited from innovations …

Rapid and accurate determination of rice diseases is the key to accurate monitoring of
agricultural conditions and timely prevention of agricultural yield reduction. Aiming at the …

Rice grain discoloration (RGD) is a disease of complex aetiology for which there are no
resistant varieties. Due to the need to better define the environmental conditions that favour …

Effective detection of rice diseases is an important subject to improve the yield and quality of
rice. Convolution neural network (CNN) is widely used in plant disease detection, but a large …