The obtained features using deep feature extraction are then classified by support vector machine (SVM), extreme learning machine (ELM), and K-nearest neighbor (KNN) methods. The experiments are carried out using data consisting of real disease and pest images from Turkey. The accuracy, ...
diseases and pests detection and compares the performance of the existing studies; “Challenges” section puts forward the challenges of plant diseases and pests detection based on deep learning; “Conclusions and future directions” section prospects the possible research focus and development direction i...
diseases and pests detection and compares the performance of the existing studies; “Challenges” section puts forward the challenges of plant diseases and pests detection based on deep learning; “Conclusions and future directions” section prospects the possible research focus and development direction i...
Plant disease and pest detection using deep learning-based features The timely and accurate diagnosis of plant diseases plays an important role in preventing the loss of productivity and loss or reduced quantity of agricult... TRKOLU, Muammer,HANBAY, Davut - Turkish Journal of Electrical Engineering...
Hyperspectral imaging is emerging as a promising approach for plant disease identification. The large and possibly redundant information contained in hyperspectral data cubes makes deep learning based identification of plant diseases a natural fit. Here,
Plant Disease Detection and Classification Using Deep Learning In this work, a real-time decision support system integrated with a camera sensor module was designed and developed for the identification of plant disease... K K. - 《International Journal for Research in Applied Science & Engineering ...
we introduce two plant disease detection (PDDNet) models of early fusion (AE) and the lead voting ensemble (LVE) integrated with nine pre-trained convolutional neural networks (CNNs) and fine-tuned by deep feature extraction for efficient plant disease identifi- cation and cla...
Chen J, Chen J, Zhang D, Sun Y, Nanehkaran YA (2020) Using deep transfer learning for image-based plant disease identification. Comput Electron Agric 173:105393 Article Google Scholar Ebrahimi M, Khoshtaghaza M-H, Minaei S, Jamshidi B (2017) Vision-based pest detection based on svm cl...
Currently, precision agriculture that is based on the use of deep learning algorithms and Unmanned Aerial Vehicles (UAVs) provides an effective solution to achieve agriculture applications, including plant disease identification and treatment. In the last few years, plant disease monitoring using UAV ...
Crop insect pest detection is the premise and foundation of crop insect pest identification and control [1, 2]. There are many crop insect pest detection methods [3, 4]. They are broadly divided into two categories: traditional machine learning (ML) [5] and deep learning (DL) [6,7,8]...