[HTML][HTML] Deep learning YOLO-based solution for grape bunch detection and assessment of biophysical lesions
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 …
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
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 …
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 …
provide baseline methods. Individual plant seed properties influence early development of …
Identifying Spatio-Temporal Drivers of Extreme Events
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 …
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 …
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 …
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 …
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 …
detection of grapevine varieties through the analysis of specific grapevine properties. These …