Plants play a crucial role in supplying food globally. Various environmental factors lead to
plant diseases which results in significant production losses. However, manual detection of …

Deep learning (DL) is a robust data-analysis and image-processing technique that has
shown great promise in the agricultural sector. In this study, 129 papers that are based on …

One of the essential components of human civilization is agriculture. It helps the economy in
addition to supplying food. Plant leaves or crops are vulnerable to different diseases during …

Deep learning is a branch of artificial intelligence. In recent years, with the advantages of
automatic learning and feature extraction, it has been widely concerned by academic and …

Plant diseases and pests are important factors determining the yield and quality of plants.
Plant diseases and pests identification can be carried out by means of digital image …

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 …

Crop diseases cause a substantial loss in the quantum and quality of agricultural production.
Regular monitoring may help in early stage disease detection an d thereby reduction in crop …

Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …

Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of
agriculture production. Disease control has been a research object in many scientific and …

Recent advances in communication technologies with the emergence of connected objects
have changed the agricultural area. In this new digital age, the development of artificial …