[HTML][HTML] Deep learning YOLO-based solution for grape bunch detection and assessment of biophysical lesions

I Pinheiro, G Moreira, D Queirós da Silva, S Magalhães… - Agronomy, 2023 - mdpi.com
The world wine sector is a multi-billion dollar industry with a wide range of economic
activities. Therefore, it becomes crucial to monitor the grapevine because it allows a more …

[HTML][HTML] A Systematic Review on the Advancements in Remote Sensing and Proximity Tools for Grapevine Disease Detection

F Portela, JJ Sousa, C Araújo-Paredes, E Peres… - Sensors, 2024 - mdpi.com
Grapevines (Vitis vinifera L.) are one of the most economically relevant crops worldwide, yet
they are highly vulnerable to various diseases, causing substantial economic losses for …

Deep learning based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method

V Cherepashkin, E Yildiz, A Fischbach… - Proceedings of the …, 2023 - openaccess.thecvf.com
We present a new data set for 3d wheat seed reconstruction, propose a challenge, and
provide baseline methods. Individual plant seed properties influence early development of …

Identifying Spatio-Temporal Drivers of Extreme Events

MHS Eddin, J Gall - arXiv preprint arXiv:2410.24075, 2024 - arxiv.org
The spatio-temporal relations of impacts of extreme events and their drivers in climate data
are not fully understood and there is a need of machine learning approaches to identify such …

S2AM: a sustainable smart agriculture model for crop protection based on deep learning

A Sharma, P Sharma - Journal of Plant Diseases and Protection, 2024 - Springer
Agriculture is the golden thread that fastens all the sustainable development goals globally.
However, the massive population explosion and ecosystem degradation have pressurized …

Synthetic Data Generation for Anomaly Detection on Table Grapes

IM Motoi, V Belli, A Carpineto, D Nardi… - arXiv preprint arXiv …, 2024 - arxiv.org
Early detection of illnesses and pest infestations in fruit cultivation is critical for maintaining
yield quality and plant health. Computer vision and robotics are increasingly employed for …

[PDF][PDF] Contributions to Image-based High-throughput Phenotyping in Viticulture

L Zabawa - 2023 - dgk.badw.de
Grapevine is a crop with significant economic importance. Unlike many other crops,
grapevine is a quality crop with the focus on yield optimization instead of maximization …

Detection and classification of grapevine varieties using multispectral image analysis and vegetation indices

Ο Κουρουνιώτη - 2023 - polynoe.lib.uniwa.gr
The present master thesis focuses on investigating and analyzing issues related to the
detection of grapevine varieties through the analysis of specific grapevine properties. These …