Agriculture is the most primary and indispensable source to furnish national income of
numerous countries including India. Diseases in plants/crops are the serious causes in …

With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …

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

Crop diseases are a noteworthy risk to sustenance security, however their quick
distinguishing proof stays troublesome in numerous parts of the world because of the non …

Trees in urban areas have diverse ecological, social, and health benefits. The establishment
of up-to-date and accurate street-tree inventories that list the species and locations of …

Species knowledge is essential for protecting biodiversity. The identification of plants by
conventional keys is complex, time consuming, and due to the use of specific botanical …

Application of the benefits of modern computing technology to improve the efficiency of
agricultural fields is inevitable with growing concerns about increasing world population and …

An automated plant species identification system could help botanists and layman in
identifying plant species rapidly. Deep learning is robust for feature extraction as it is …

This paper proposes a novel methodology of characterizing and recognizing plant leaves
using a combination of texture and shape features. Texture of the leaf is modeled using …

This paper provides a comprehensive survey of various techniques used in computer vision
for the automatic identification of plants with the help of leaf images. The extracted …