The timely identification of diseases in maize leaf offers several benefits such as increased
crop productivity, reduced reliance on harmful chemicals, and improved production of …

Coffee is regarded as the highest consumed drink around the globe and has accounted as a
major source of income in the regions where it is cultivated. To meet the coffee …

Agriculture is an inevitable area for research that must be prioritized as the world population
is continuously growing. To meet agricultural product demand, agricultural processes from …

Plant diseases can significantly reduce crop yield and product quality. Visual inspections of
plants by human observers for disease identification are time-consuming, costly, and prone …

Disease and pest diagnosis plays a critical role in managing and controlling the damage
caused by plant diseases and pests. This study employs a content-based image retrieval …

In the smart agriculture community, segmentation models are de-facto for the timely
detection and identification of plant diseases. However, the complex background and the …

The maturity of fresh tobacco leaves significantly impacts the quality of subsequent curing
processes, making accurate recognition of tobacco leaves maturity crucial. The development …

This research work introduces an innovative approach for the classification of hops plant
diseases through the utilization of transfer learning with state-of-the-art Convolutional Neural …

In this paper, we propose an effective composite descriptor combining contour and
appearance features for plant species identification. The composite descriptor uses two …

Introduction In agriculture, especially wheat cultivation, farmers often use multi-variety
planting strategies to reduce monoculture-related harvest risks. However, the subtle …