Plant species identification using computer vision techniques: a systematic literature review
J Wäldchen, P Mäder - Archives of computational methods in engineering, 2018 - Springer
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 …
conventional keys is complex, time consuming, and due to the use of specific botanical …
Plant species identification using digital morphometrics: A review
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 …
whole plants are of great significance to plant science, as they can help to distinguish …
How deep learning extracts and learns leaf features for plant classification
Plant identification systems developed by computer vision researchers have helped
botanists to recognize and identify unknown plant species more rapidly. Hitherto, numerous …
botanists to recognize and identify unknown plant species more rapidly. Hitherto, numerous …
Plant leaf disease identification using exponential spider monkey optimization
Agriculture is one of the prime sources of economy and a large community is involved in
cropping various plants based on the environmental conditions. However, a number of …
cropping various plants based on the environmental conditions. However, a number of …
Plant leaf recognition by integrating shape and texture features
C Yang - Pattern Recognition, 2021 - Elsevier
Plant leaf identification is a significant challenge in the fields of computer vision and pattern
recognition. This article presents a new approach to plant leaf identification, one that …
recognition. This article presents a new approach to plant leaf identification, one that …
[PDF][PDF] Plant leaf classification using probabilistic integration of shape, texture and margin features
Plant species classification using leaf samples is a challenging and important problem to
solve. This paper introduces a new data set of sixteen samples each of one-hundred plant …
solve. This paper introduces a new data set of sixteen samples each of one-hundred plant …
Leaf classification for plant recognition with deep transfer learning
A Beikmohammadi, K Faez - 2018 4th Iranian Conference on …, 2018 - ieeexplore.ieee.org
Plant recognition systems that developed by computer vision researchers, help botanists in
faster recognition and detection of unknown plant species. Until now, multiple studies …
faster recognition and detection of unknown plant species. Until now, multiple studies …
A review of visual descriptors and classification techniques used in leaf species identification
KK Thyagharajan, I Kiruba Raji - Archives of Computational Methods in …, 2019 - Springer
Plants are fundamentally important to life. Key research areas in plant science include plant
species identification, weed classification using hyper spectral images, monitoring plant …
species identification, weed classification using hyper spectral images, monitoring plant …
Plant texture classification using gabor co-occurrences
Leaves provide an important source of data for research in comparative plant biology. This
paper presents a method for comparing and classifying plants based on leaf texture. Joint …
paper presents a method for comparing and classifying plants based on leaf texture. Joint …
[PDF][PDF] Automatic plant detection using HOG and LBP features with SVM
Plants play a vital role in the cycle of nature. Plants are the only organisms which produce
food by converting light energy from the sun. They also help in maintaining oxygen balance …
food by converting light energy from the sun. They also help in maintaining oxygen balance …