[HTML][HTML] Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin

MG Selvaraj, A Vergara, F Montenegro, HA Ruiz… - ISPRS Journal of …, 2020 - Elsevier
Front-line remote sensing tools, coupled with machine learning (ML), have a significant role
in crop monitoring and disease surveillance. Crop type classification and a disease early …

Deep neural networks for grape bunch segmentation in natural images from a consumer-grade camera

R Marani, A Milella, A Petitti, G Reina - Precision Agriculture, 2021 - Springer
Precision agriculture relies on the availability of accurate knowledge of crop phenotypic
traits at the sub-field level. While visual inspection by human experts has been traditionally …

[PDF][PDF] Innovative digital technologies to monitor and control pest and disease threats in root, tuber, and banana (RT&B) cropping systems: Progress and prospects

J Kreuze, J Adewopo, M Selvaraj… - Root, Tuber and …, 2022 - library.oapen.org
This chapter provides the first comprehensive review of digital tools and technologies
available for the identification, monitoring, and control of pests and diseases, with an …

In field detection of downy mildew symptoms with proximal colour imaging

F Abdelghafour, B Keresztes, C Germain, JP Da Costa - Sensors, 2020 - mdpi.com
This paper proposes to study the potentialities of on-board colour imaging for the in-field
detection of a textbook case disease: the grapevine downy mildew. It introduces an …

Automatic detection of flavescence dorée symptoms across white grapevine varieties using deep learning

J Boulent, PL St-Charles, S Foucher… - Frontiers in Artificial …, 2020 - frontiersin.org
Flavescence dorée (FD) is a grapevine disease caused by phytoplasmas and transmitted by
leafhoppers that has been spreading in European vineyards despite significant efforts to …

A Cloud-Based Deep Learning Framework for Downy Mildew Detection in Viticulture Using Real-Time Image Acquisition from Embedded Devices and Drones

S Kontogiannis, M Konstantinidou, V Tsioukas… - Information, 2024 - mdpi.com
In viticulture, downy mildew is one of the most common diseases that, if not adequately
treated, can diminish production yield. However, the uncontrolled use of pesticides to …

Near real-time vineyard downy mildew detection and severity estimation

E Liu, K Gold, L Cadle-Davidson… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
The global grape and wine industry has been considerably impacted by diseases such as
downy mildew (DM). Agricultural robots have demonstrated great potential to accurately and …

Smartphone-assisted Apple Scab Identification and Quantification Using Artificial Intelligence

Y Yang, L He, KA Peter - 2023 ASABE Annual International …, 2023 - elibrary.asabe.org
Apple scab, caused by the fungus Venturia inaequalis, is the most common fungal disease
affecting both wild and cultivated apple species in Pennsylvania. under conducive …

A Hybrid Deep Learning Approach for Severity Classification of Pepper Leaf Mosaic Virus

A Kaur, V Kukreja, L Gopal, G Verma… - … on Advances in …, 2024 - ieeexplore.ieee.org
The efficient administration of agricultural operations and the maximization of crop output
both depend critically on an accurate assessment of the severity of plant diseases. This …

Anthracnose Detection and Classification in Chilli Leaves Using Mobile Net: UAV Images

PN Bandaru, G Anuradha… - 2024 IEEE 9th International …, 2024 - ieeexplore.ieee.org
The health of a plant has remained an indispensable factor for sustainable and enriching
crop production to fulfill the Nation's food demands. A degradation in the health of the crop …