Deep learning for plant identification and disease classification from leaf images: multi-prediction approaches
Deep learning (DL) plays an important role in modern agriculture, especially in plant
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …
pathology using leaf images where convolutional neural networks (CNN) are attracting a lot …
A deep learning-based recognition technique for plant leaf classification
PS Kanda, K Xia, OH Sanusi - IEEE Access, 2021 - ieeexplore.ieee.org
In the practice of plant classification, the design of hand-crafted features is more dependent
on the ability of computer vision experts to encode morphological characters that are …
on the ability of computer vision experts to encode morphological characters that are …
Simplifying vgg-16 for plant species identification
JA Campos-Leal, A Yee-Rendón… - IEEE Latin America …, 2022 - ieeexplore.ieee.org
Plant species identification represents an extraordinary challenge for machine learning due
to visual interspecies similarities and large intraspecies variations. Furthermore, research …
to visual interspecies similarities and large intraspecies variations. Furthermore, research …
Poisonous Plants Species Prediction Using a Convolutional Neural Network and Support Vector Machine Hybrid Model
The total number of discovered plant species is increasing yearly worldwide. Plant species
differ from one region to another. Some of these discovered plant species are beneficial …
differ from one region to another. Some of these discovered plant species are beneficial …
[HTML][HTML] Association of meteorological variables with leaf spot and fruit rot disease incidence in eggplant and YOLOv8-based disease classification
A Kaniyassery, A Goyal, SA Thorat, MR Rao… - Ecological …, 2024 - Elsevier
Eggplant is one of the major vegetables consumed worldwide. Several fungal, bacterial, and
viral diseases challenge the yield and quality of eggplant. The incidence of plant diseases is …
viral diseases challenge the yield and quality of eggplant. The incidence of plant diseases is …
[HTML][HTML] Indicators for monitoring reduced impact logging in the Brazilian amazon derived from airborne laser scanning technology
Monitoring reduced impact logging (RIL) activities in sustainably managed forest areas in
the Amazon is a costly and complex, yet crucial endeavor. One viable monitoring option is …
the Amazon is a costly and complex, yet crucial endeavor. One viable monitoring option is …
Aggregate Plant Species Categorization with Deep CNN Based Positional Encoded Cross Attentional Mechanism
A Pravin, C Deepa - SN Computer Science, 2024 - Springer
Plants plays a major role in the life of humans. It offers food, medicines, fibers, wood, spices,
perfume, oil, and paper. Besides, it minimizes soil erosion and prevents air pollution …
perfume, oil, and paper. Besides, it minimizes soil erosion and prevents air pollution …
基于树木年轮径切特征的卷积神经网络树种识别.
高欣， 杨立新， 陈振举 - Yingyong Shengtai Xuebao, 2023 - search.ebscohost.com
摘要卷积神经网络可以通过树木年轮样本构造特征图像实现物种识别的自动化.
本研究通过建立树木年轮样本构造特征图像集, 选用LeNet, AlexNet, GoogLeNet 和VGGNet 4 …
本研究通过建立树木年轮样本构造特征图像集, 选用LeNet, AlexNet, GoogLeNet 和VGGNet 4 …
Decoding family‐level features for modern and fossil leaves from computer‐vision heat maps
Premise Angiosperm leaves present a classic identification problem due to their
morphological complexity. Computer‐vision algorithms can identify diagnostic regions in …
morphological complexity. Computer‐vision algorithms can identify diagnostic regions in …
[PDF][PDF] Deep convolutional neural networks with transfer learning for estimation of Nile Tilapia mass
P Poonnoy, N Kitcharoen - Agriculture and Natural Resources, 2022 - li01.tci-thaijo.org
Objectives: To develop deep convolutional neural networks (ConvNets) with transfer
learning to estimate the mass of Nile Tilapia from the image of the fish. Materials & Methods …
learning to estimate the mass of Nile Tilapia from the image of the fish. Materials & Methods …