[HTML][HTML] Mask R-CNN based apple flower detection and king flower identification for precision pollination
X Mu, L He, P Heinemann, J Schupp… - Smart Agricultural …, 2023 - Elsevier
Identification of individual king flowers within flower clusters is a critical step for developing a
robotic apple pollination system. Typically, each cluster has five to six individual flowers, and …
robotic apple pollination system. Typically, each cluster has five to six individual flowers, and …
[HTML][HTML] Study on pear flowers detection performance of YOLO-PEFL model trained with synthetic target images
C Wang, Y Wang, S Liu, G Lin, P He, Z Zhang… - Frontiers in Plant …, 2022 - frontiersin.org
Accurate detection of pear flowers is an important measure for pear orchard yield estimation,
which plays a vital role in improving pear yield and predicting pear price trends. This study …
which plays a vital role in improving pear yield and predicting pear price trends. This study …
Convolutional neural network and support vector machine in classification of flower images
Flowers are among the raw materials in many industries including the pharmaceuticals and
cosmetics. Manual classification of flowers requires expert judgment of a botanist and can …
cosmetics. Manual classification of flowers requires expert judgment of a botanist and can …
Flower image classification using deep convolutional neural network
N Alipour, O Tarkhaneh, M Awrangjeb… - 2021 7th International …, 2021 - ieeexplore.ieee.org
These days deep learning methods play a pivotal role in complicated tasks, such as
extracting useful features, segmentation, and semantic classification of images. These …
extracting useful features, segmentation, and semantic classification of images. These …
Modified Deep-Convolution Neural Network Model for Flower Images Segmentation and Predictions
Nowadays, recognition of plant, leaf, and flower images is one of the most challenging
issues due to the wide variety of classes on earth, which are based on amount of texture …
issues due to the wide variety of classes on earth, which are based on amount of texture …
Implementasi deep learning menggunakan convolutional neural network untuk klasifikasi bunga
R Firmansyah - 2021 - repository.uinjkt.ac.id
Bunga merupakan struktur reproduksi yang ditemukan pada tanaman berbunga
(angiospermae atau magnoliophyta). Terdapat 295.383 spesies atau jenis bunga dengan …
(angiospermae atau magnoliophyta). Terdapat 295.383 spesies atau jenis bunga dengan …
Identification of medicinal plants by visual characteristics of leaves and flowers
A Jayalath, T Amarawanshaline… - … 14th Conference on …, 2019 - ieeexplore.ieee.org
In Ayurveda medicine, correct identification of medicinal plants is of great importance. Plants
are identified by human experts using their visual features and aroma. Incorrect identification …
are identified by human experts using their visual features and aroma. Incorrect identification …
[PDF][PDF] Deep fake detection using neural networks
A Badale, L Castelino, C Darekar… - 15th IEEE international …, 2018 - academia.edu
Deepfake is a technique for human image synthesis based on artificial intelligence.
Deepfake is used to merge and superimpose existing images and videos onto source …
Deepfake is used to merge and superimpose existing images and videos onto source …
A comprehensive analysis of deep learning techniques for recognition of flower species
Flower Species Recognition may be a difficult issue due to the wide selection of features,
like leaves and grass. The classification is done by the traditional method through color …
like leaves and grass. The classification is done by the traditional method through color …
Flower recognition using deep convolutional neural networks
M Hanafiah, MA Adnan, S Abdul-Rahman… - … Series: Earth and …, 2022 - iopscience.iop.org
This study investigates the suitable model for flower recognition based on deep
Convolutional Neural Networks (CNN) with transfer learning approach. The dataset used in …
Convolutional Neural Networks (CNN) with transfer learning approach. The dataset used in …