David Bohnenkamp

A bibliometric and thematic approach to agriculture 4.0

Smart farming using artificial intelligence: A review

Rice plant disease classification using color features: a machine learning paradigm

Early Identification of Root Rot Disease by Using Hyperspectral Reflectance: The Case of Pathosystem Grapevine/Armillaria

An anatomization on breast cancer detection and diagnosis employing multi-layer perceptron neural network (MLP) and Convolutional neural network (CNN)

Plant Disease Recognition Model Based on Improved YOLOv5

Advanced Modelling of Soil Organic Carbon Content in Coal Mining Areas Using Integrated Spectral Analysis: A Dengcao Coal Mine Case Study

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

Detection of leek white tip disease under field conditions using hyperspectral proximal sensing and supervised machine learning

Artificial cognition for applications in smart agriculture: A comprehensive review

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

Application of machine learning techniques in rice leaf disease detection

Specim IQ: Evaluation of a New, Miniaturized Handheld Hyperspectral Camera and Its Application for Plant Phenotyping and Disease Detection

Plant disease detection by hyperspectral imaging: from the lab to the field

In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale

Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective