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Seeds have been packed in a dielectric barrier device where cold atmospheric plasma has been generated to improve their germinative properties. A special attention has been paid on understanding the resulting plasma electrical properties…

Applied Physics · Physics 2020-08-25 Florian Judée , Thierry Dufour

The application of nonthermal plasma in agriculture has emerged as a sustainable and eco-friendly method to enhance seed vigor, germination, and crop productivity. This study investigates the effects of atmospheric pressure plasma treatment…

Plasma Physics · Physics 2026-01-22 Punit Kumar , Abhishek Kumar Singh , Priti Saxena

The aim of this study was to investigate the impact of ambient air plasma treatment on both sunflower seed germination and early steps of seedling development under water stress. Dry seeds were exposed to a cold atmospheric plasma (CAP)…

Plasma Physics · Physics 2025-12-30 L. Taras , C. Bailly , T. Dufour

Cold plasma technologies are an efficient approach to improve the germination properties of seeds, especially in a stacking configuration within a dielectric barrier device. In such dry atmospheric plasma priming process, we show that a…

Plasma Physics · Physics 2021-10-20 T. Dufour , Q. Gutierrez

Employing eco-friendly techniques like cold plasma (CP) and ultraviolet (UV) radiation provides innovative approaches to enhance the sprout quality and productivity of alfalfa. This study explores the effects of CP and UV radiation on the…

Plasma Physics · Physics 2026-01-07 M. A. Benabderrahim , H. Hannachi , W. Elfalleh , T. Dufour

The alfalfa crop is globally important as livestock feed, so highly efficient planting and harvesting could benefit many industries, especially as the global climate changes and traditional methods become less accurate. Recent work using…

Machine Learning · Computer Science 2022-10-21 Jonathan Vance , Khaled Rasheed , Ali Missaoui , Frederick Maier , Christian Adkins , Chris Whitmire

Machine vision for precision agriculture has attracted considerable research interest in recent years. The goal of this paper is to develop an end-to-end cranberry health monitoring system to enable and support real time cranberry…

Computer Vision and Pattern Recognition · Computer Science 2020-11-10 Peri Akiva , Benjamin Planche , Aditi Roy , Kristin Dana , Peter Oudemans , Michael Mars

The increasing global demand for clean and environmentally friendly energy resources has caused increased interest in harnessing solar power through photovoltaic (PV) systems for smart grids and homes. However, the inherent unpredictability…

Machine Learning · Computer Science 2023-10-24 Saman Soleymani , Shima Mohammadzadeh

Agriculture is increasingly challenged by climate change, soil degradation, and resource depletion, and hence requires advanced data-driven crop classification and recommendation solutions. This work presents an explainable ensemble…

Accurate prediction of crop states (e.g., phenology stages and cold hardiness) is essential for timely farm management decisions such as irrigation, fertilization, and canopy management to optimize crop yield and quality. While traditional…

Artificial Intelligence · Computer Science 2026-05-20 William Solow , Paola Pesantez-Cabrera , Markus Keller , Lav Khot , Sandhya Saisubramanian , Alan Fern

This study investigates the impact of three cold plasma treatments on barley seed germination: direct treatment of dry seeds (DDS), direct treatment of water-soaked seeds (DWS), and indirect treatment of seeds using plasma-activated water…

Other Quantitative Biology · Quantitative Biology 2024-05-03 Mohamed Ali Benabderrahim , Imen Bettaieb , Hédia Hannachi , Mokhtar Rejili , Thierry Dufour

The paper reports on a new plasma startup scenario in the Gas Dynamic Trap (GDT) magnetic mirror device. The primary 5 MW neutral beam injection (NBI) plasma heating system fires into a sufficiently dense plasma target ("seed plasma"),…

Cold temperatures during fall and spring have the potential to cause frost damage to grapevines and other fruit plants, which can significantly decrease harvest yields. To help prevent these losses, farmers deploy expensive frost mitigation…

Machine Learning · Computer Science 2023-01-06 Aseem Saxena , Paola Pesantez-Cabrera , Rohan Ballapragada , Kin-Ho Lam , Markus Keller , Alan Fern

Genomic Selection (GS) uses whole-genome information to predict crop phenotypes and accelerate breeding. Traditional GS methods, however, struggle with prediction accuracy for complex traits and large datasets. We propose DPCformer, a deep…

Machine Learning · Computer Science 2025-11-11 Pengcheng Deng , Kening Liu , Mengxi Zhou , Mingxi Li , Rui Yang , Chuzhe Cao , Maojun Wang , Zeyu Zhang

In this study, we investigate the effects of pre-germinative and post-germinative plasma treatments, applied separately or in combination, to improve maize germination and early seedling development. Pre-germinative treatment consists of…

Nanoparticles (NPs) formed in nonthermal plasmas (NTPs) can have unique properties and applications. However, modeling their growth in these environments presents significant challenges due to the non-equilibrium nature of NTPs, making them…

Computational Physics · Physics 2025-01-03 Matt Raymond , Paolo Elvati , Jacob C. Saldinger , Jonathan Lin , Xuetao Shi , Angela Violi

Temperature fluctuations significantly affect microorganism growth and pest activities in grain pile, precise monitoring and forecasting temperature of stored grain are essential for maintaining the quality and safety of grain storage. This…

Computational Engineering, Finance, and Science · Computer Science 2024-04-18 Donghao Chen , Binkun Liu

When mature Arabidopsis thaliana seeds are dormant, their germination is prevented in apparently favourable conditions. This primary dormancy can be released during seed dry storage through a process called after-ripening whose duration can…

Plasma Physics · Physics 2023-11-03 Jonas August , Thierry Dufour , Christophe Bailly

Eradicating hunger and malnutrition is a key development goal of the 21st century. We address the problem of optimally identifying seed varieties to reliably increase crop yield within a risk-sensitive decision-making framework.…

Machine Learning · Computer Science 2017-11-17 Huaiyang Zhong , Xiaocheng Li , David Lobell , Stefano Ermon , Margaret L. Brandeau

Predicting microstructure evolution during thermomechanical treatment is essential for determining the final mechanical properties of a material, yet conventional simulations based on Partial Differential Equations (PDEs) remain…

Materials Science · Physics 2026-03-26 Pungponhavoan Tep , Marc Bernacki
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