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 …
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 …
Fast and accurate crop and weed identification with summarized train sets for precision agriculture
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 …
unmanned ground vehicle (UGV) equipped with a multi spectral camera to automatically …
Real-time blob-wise sugar beets vs weeds classification for monitoring fields using convolutional neural networks
UAVs are becoming an important tool for field monitoring and precision farming. A
prerequisite for observing and analyzing fields is the ability to identify crops and weeds from …
prerequisite for observing and analyzing fields is the ability to identify crops and weeds from …
Effective vision‐based classification for separating sugar beets and weeds for precision farming
The use of robots in precision farming has the potential to reduce the reliance on herbicides
and pesticides through selectively spraying individual plants or through manual weed …
and pesticides through selectively spraying individual plants or through manual weed …
An effective classification system for separating sugar beets and weeds for precision farming applications
Robots for precision farming have the potential to reduce the reliance on herbicides and
pesticides through selectively spraying individual plants or through manual weed removal …
pesticides through selectively spraying individual plants or through manual weed removal …
Leaf classification on Flavia dataset: a detailed review
For decades, vision scientists have contemplated the topic of plant species classification. As
plants are of great importance to medicinal research, they are utilized in a wide range of …
plants are of great importance to medicinal research, they are utilized in a wide range of …
Plant species identification from occluded leaf images
A Chaudhury, JL Barron - IEEE/ACM transactions on …, 2018 - ieeexplore.ieee.org
We present an approach to identify the plant species from the contour information from
occluded leaf image using a database of full plant leaves. Although contour based 2D shape …
occluded leaf image using a database of full plant leaves. Although contour based 2D shape …
Joint multi-leaf segmentation, alignment, and tracking for fluorescence plant videos
This paper proposes a novel framework for fluorescence plant video processing. The plant
research community is interested in the leaf-level photosynthetic analysis within a plant. A …
research community is interested in the leaf-level photosynthetic analysis within a plant. A …
Multi-leaf tracking from fluorescence plant videos
Driven by the plant phenotyping application, this paper proposes a new leaf tracking
framework to jointly segment, align and track multiple leaves from fluorescence plant videos …
framework to jointly segment, align and track multiple leaves from fluorescence plant videos …