[HTML][HTML] Internet of Things in arable farming: Implementation, applications, challenges and potential

A Villa-Henriksen, GTC Edwards, LA Pesonen… - Biosystems …, 2020 - Elsevier
Highlights•The role of Internet of Things in arable farming is reviewed.•Internet of Things is
leading arable farming to become data-driven.•Implementation and application are …

Sustainable crop protection via robotics and artificial intelligence solutions

V Balaska, Z Adamidou, Z Vryzas, A Gasteratos - Machines, 2023 - mdpi.com
Agriculture 5.0 refers to the next phase of agricultural development, building upon the
previous digital revolution in the agrarian sector and aiming to transform the agricultural …

Integrative approaches in modern agriculture: IoT, ML and AI for disease forecasting amidst climate change

P Delfani, V Thuraga, B Banerjee, A Chawade - Precision Agriculture, 2024 - Springer
Plant disease forecasting models, driven by concurrent data and advanced technologies,
are reliable tools for accurate prediction of disease outbreaks in achieving sustainable and …

A fast Fourier convolutional deep neural network for accurate and explainable discrimination of wheat yellow rust and nitrogen deficiency from Sentinel-2 time series …

Y Shi, L Han, P González-Moreno, D Dancey… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction Accurate and timely detection of plant stress is essential for yield protection,
allowing better-targeted intervention strategies. Recent advances in remote sensing and …

Wheat fusarium head blight detection using UAV-based spectral and texture features in optimal window size

Y Xiao, Y Dong, W Huang, L Liu, H Ma - Remote Sensing, 2021 - mdpi.com
By combining the spectral and texture features of images captured by unmanned aerial
vehicles (UAVs), the accurate and timely detection of wheat Fusarium head blight (FHB) can …

Functional data analysis of weather variables linked to Fusarium head blight epidemics in the United States

DA Shah, ED De Wolf, PA Paul, LV Madden - Phytopathology, 2019 - Am Phytopath Society
In past efforts, input weather variables for Fusarium head blight (FHB) prediction models in
the United States were identified after following some version of the window-pane algorithm …

Using ground and UAV vegetation indexes for the selection of fungal-resistant bread wheat varieties

Y Hamdane, J Segarra, ML Buchaillot, FZ Rezzouk… - Drones, 2023 - mdpi.com
The productivity of wheat in the Mediterranean region is under threat due to climate-change-
related environmental factors, including fungal diseases that can negatively impact wheat …

Current trends, limitations and future research in the fungi?

KD Hyde, P Baldrian, Y Chen, KW Thilini Chethana… - Fungal Diversity, 2024 - Springer
The field of mycology has grown from an underappreciated subset of botany, to a valuable,
modern scientific discipline. As this field of study has grown, there have been significant …

Leveraging the Use of Historical Data Gathered During Seed Regeneration of an ex Situ Genebank Collection of Wheat

N Philipp, S Weise, M Oppermann, A Börner… - Frontiers in Plant …, 2018 - frontiersin.org
Genebanks are a rich source of genetic variation. Most of this variation is absent in breeding
programs but may be useful for further crop plant improvement. However, the lack of …

Historical phenotypic data from seven decades of seed regeneration in a wheat ex situ collection

N Philipp, S Weise, M Oppermann, A Börner… - Scientific Data, 2019 - nature.com
Genebanks are valuable sources of genetic diversity, which can help to cope with future
problems of global food security caused by a continuously growing population, stagnating …