An intelligent monitoring system of diseases and pests on rice canopy

Spatial Pyramid Pooling in Deep Convolutional Networks for Automatic Tuberculosis Diagnosis

(2021) Pike Msonda et al.   Traitement du Signal

Predicting Plant Growth from Time-Series Data Using Deep Learning

(2021) Robail Yasrab et al.   Remote Sensing

A Smartphone-Based Application for Scale Pest Detection Using Multiple-Object Detection Methods

(2021) Jian-Wen Chen et al.   Electronics

Deep Neural Network for Disease Detection in Rice Plant Using the Texture and Deep Features

(2021) T Daniya et al.   COMPUTER JOURNAL

DeepCorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation

(2021) Saeed Khaki et al.   KNOWLEDGE-BASED SYSTEMS

A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework

(2021) Bifta Sama Bari et al.   PeerJ Computer Science

Convolutional neural network based automatic pest monitoring system using hand-held mobile image analysis towards non-site-specific wild environment

(2021) Fangyuan Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Recognition Method for Rice Plant Diseases and Pests Video Detection Based on Deep Convolutional Neural Network

(2020) Dengshan Li et al.   SENSORS

A Framework for Agricultural Pest and Disease Monitoring Based on Internet-of-Things and Unmanned Aerial Vehicles

(2020) Demin Gao et al.   SENSORS

A review: application of remote sensing as a promising strategy for insect pests and diseases management

(2020) Nesreen M. Abd El-Ghany et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model

(2020) Jun Liu et al.   Plant Methods

Tomato Diseases and Pests Detection Based on Improved Yolo V3 Convolutional Neural Network

(2020) Jun Liu et al.   Frontiers in Plant Science

VirLeafNet: Automatic analysis and viral disease diagnosis using deep-learning in Vigna mungo plant

(2020) Rakesh Chandra Joshi et al.   Ecological Informatics

An Internet of Things assisted Unmanned Aerial Vehicle based artificial intelligence model for rice pest detection

(2020) Sourav Kumar Bhoi et al.   MICROPROCESSORS AND MICROSYSTEMS

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense

(2019) Yunong Tian et al.   Journal of Sensors

CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks

(2019) Ángela Casado-García et al.   BMC BIOINFORMATICS

Monitoring plant diseases and pests through remote sensing technology: A review

(2019) Jingcheng Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Non-destructive techniques of detecting plant diseases: A review

(2019) Maimunah Mohd Ali et al.   PHYSIOLOGICAL AND MOLECULAR PLANT PATHOLOGY

Incorporation of Unmanned Aerial Vehicle (UAV) Point Cloud Products into Remote Sensing Evapotranspiration Models

(2019) Mahyar Aboutalebi et al.   Remote Sensing

Detection of rice sheath blight using an unmanned aerial system with high-resolution color and multispectral imaging

(2018) Dongyan Zhang et al.   PLoS One

Focal loss for dense object detection

(2018) Tsung-Yi Lin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Identification of rice diseases using deep convolutional neural networks

(2017) Yang Lu et al.   NEUROCOMPUTING