With the advances in electronic and information technologies, various sensing systems have
been developed for specialty crop production around the world. Accurate information …

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 …

Plant species classification is crucial for biodiversity protection and conservation. Manual
classification is time-consuming, expensive, and requires experienced experts who are often …

We use deep convolutional neural networks to identify the plant species captured in a
photograph and evaluate different factors affecting the performance of these networks. Three …

We propose using a deep convolutional neural network (CNN) for the problem of plant
identification from leaf vein patterns. In particular, we consider classifying three different …

Weed detection is still a challenging problem for robotic weed removal. Small tolerance
between the cutting tine and main crop position requires highly precise discrimination of the …

Plant identification systems developed by computer vision researchers have helped
botanists to recognize and identify unknown plant species more rapidly. Hitherto, numerous …

The plant disease diagnosis and severity estimation are a very challenging research field in
the agriculture sector. In this work, we present a robust image-based Plant Disease …

The identification of maize leaf diseases will meet great challenges because of the
difficulties in extracting lesion features from the constant-changing environment, uneven …

An accurate vegetation index is required to identify plant biomass versus soil and residue
backgrounds for automated remote sensing and machine vision applications, plant …