ClGanNet: A novel method for maize leaf disease identification using ClGan and deep CNN

Improving Deep Learning Classifiers Performance via Preprocessing and Class Imbalance Approaches in a Plant Disease Detection Pipeline

(2023) Mike O. Ojo et al.   Agronomy-Basel

DLMC-Net: Deeper lightweight multi-class classification model for plant leaf disease detection

(2023) Vivek Sharma et al.   Ecological Informatics

Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images

(2022) Reenul Reedha et al.   Remote Sensing

Beans Leaf Diseases Classification Using MobileNet Models

(2022) Elhoucine Elfatimi et al.   IEEE Access

Lightweight dense-scale network (LDSNet) for corn leaf disease identification

(2022) Weihui Zeng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning: as the new frontier in high-throughput plant phenotyping

(2022) Sunny Arya et al.   EUPHYTICA

Intelligent diagnosis of northern corn leaf blight with deep learning model

(2022) Shuai-qun PAN et al.   Journal of Integrative Agriculture

Technological revolutions in smart farming: Current trends, challenges & future directions

(2022) Vivek Sharma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection and classification of chilli leaf disease using a squeeze-and-excitation-based CNN model

(2022) B. Nageswararao Naik et al.   Ecological Informatics

Conditional generative adversarial network with dual-branch progressive generator for underwater image enhancement

(2022) Peng Lin et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

CropPainter: an effective and precise tool for trait-to-image crop visualization based on generative adversarial networks

(2022) Lingfeng Duan et al.   Plant Methods

Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification

(2021) Farah Saeed et al.   APPLIED SOFT COMPUTING

Deep Regression Versus Detection for Counting in Robotic Phenotyping

(2021) Adrian Salazar Gomez et al.   IEEE Robotics and Automation Letters

Tomato plant disease detection using transfer learning with C-GAN synthetic images

(2021) Amreen Abbas et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Crop pest recognition in natural scenes using convolutional neural networks

(2020) Yanfen Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Few-shot cotton pest recognition and terminal realization

(2020) Yang Li et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learning

(2020) Aboozar Taherkhani et al.   NEUROCOMPUTING

Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network

(2019) Aditya Khamparia et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

Plant disease identification from individual lesions and spots using deep learning

(2019) Jayme Garcia Arnal Barbedo   BIOSYSTEMS ENGINEERING

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A comparative study of fine-tuning deep learning models for plant disease identification

(2018) Edna Chebet Too et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks

(2018) Xihai Zhang et al.   IEEE Access

High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank

(2018) Alvaro F. Fuentes et al.   Frontiers in Plant Science

Identification of Apple Leaf Diseases Based on Deep Convolutional Neural Networks

(2017) Bin Liu et al.   Symmetry-Basel

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science