In this review, we present a comprehensive and critical survey on image-based plant
segmentation techniques. In this context,“segmentation” refers to the process of classifying …

Plants are of fundamental importance to life on Earth. The shapes of leaves, petals and
whole plants are of great significance to plant science, as they can help to distinguish …

Herbicide use is rising globally to enhance food production, causing harm to environment
and the ecosystem. Precision agriculture suggests variable-rate herbicide application based …

As the Internet of things (IoT) technology is evolving, distributed solar energy resources can
be operated, monitored, and controlled remotely. The design of an IoT based solar energy …

Autonomous robotic weed control systems hold promise toward the automation of one of
agriculture's few remaining unmechanized and drudging tasks, hand weed control. Robotic …

Agriculture 5.0 is an emerging concept where sensors, big data, Internet-of-Things (IoT),
robots, and Artificial Intelligence (AI) are used for agricultural purpose. Different from …

In this paper we propose a benchmark dataset for crop/weed discrimination, single plant
phenotyping and other open computer vision tasks in precision agriculture. The dataset …

This paper presents a computer vision system that successfully discriminates between weed
patches and crop rows under uncontrolled lighting in real-time. The system consists of two …

In this paper we present a perception system for agriculture robotics that enables an
unmanned ground vehicle (UGV) equipped with a multi spectral camera to automatically …

This study describes an image-processing based method that identifies the visual symptoms
of plant diseases, from an analysis of coloured images. The processing algorithm developed …