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

Machine learning algorithms for forecasting the incidence of Coffea arabica pests and diseases

(2020) Lucas Eduardo de Oliveira Aparecido et al.   INTERNATIONAL JOURNAL OF BIOMETEOROLOGY

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

(2020) Dengshan Li et al.   SENSORS

AF-RCNN: An anchor-free convolutional neural network for multi-categories agricultural pest detection

(2020) Lin Jiao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Object Detection With Deep Learning: A Review

(2019) Zhong-Qiu Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

Evaluation of support vector machine and artificial neural networks in weed detection using shape features

(2018) Adel Bakhshipour et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Vision-Based Counting and Recognition System for Flying Insects in Intelligent Agriculture

(2018) Yuanhong Zhong et al.   SENSORS

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

A Novel Approach for Weed Type Classification Based on Shape Descriptors and a Fuzzy Decision-Making Method

(2014) Pedro Herrera et al.   SENSORS

Classification of crops and weeds from digital images: A support vector machine approach

(2012) Faisal Ahmed et al.   CROP PROTECTION