Results 51 to 60 of about 147,956 (345)

SugarViT -- Multi-objective Regression of UAV Images with Vision Transformers and Deep Label Distribution Learning Demonstrated on Disease Severity Prediction in Sugar Beet [PDF]

arXiv, 2023
Remote sensing and artificial intelligence are pivotal technologies of precision agriculture nowadays. The efficient retrieval of large-scale field imagery combined with machine learning techniques shows success in various tasks like phenotyping, weeding, cropping, and disease control.
arxiv  

Advancements in Biochar as a Sustainable Adsorbent for Water Pollution Mitigation

Advanced Science, EarlyView.
Biochar, obtained through pyrolysis of organic waste, serves as a sustainable solution for wastewater treatment due to its adaptability and low‐cost nature. This review comprehensively examines recent advancements in biochar production, functional modifications, and applications, highlighting the integration of machine learning and artificial ...
Devika Laishram, Su‐Bin Kim, Seul‐Yi Lee, Soo‐Jin Park   +3 more
wiley   +1 more source

Quality assurance of hyperspectral imaging systems for neural network supported plant phenotyping

Plant Methods
Background This research proposes an easy to apply quality assurance pipeline for hyperspectral imaging (HSI) systems used for plant phenotyping. Furthermore, a concept for the analysis of quality assured hyperspectral images to investigate plant disease
Justus Detring, Abel Barreto, Anne-Katrin Mahlein, Stefan Paulus   +3 more
doaj   +1 more source

Ріст і продуктивність деяких сортів енергетичної верби іноземної селекції в умовах Волинського Опілля

Plant Varieties Studying and Protection, 2018
Мета. Встановити доцільність використання деяких сортів верби іноземної селекції для створення енергетичних плантацій в умовах Волинського Опілля. Методи.
Я. Д. Фучило, І. В. Гнап, О. М. Ганженко   +2 more
doaj   +1 more source

Distribution of nitrogen compounds in important sections of sugar beets [PDF]

, 2016
In literature the beet is often described as consisting of the following technologically important sections: crown, root and tail. The aim of the study was to determine the distribution of nitrogen compounds in the technologically important beet sections
Antczak-Chrobot, Aneta, Bąk, Paulina, Wojtczak, Maciej   +2 more
core  

Distribution, host plants and natural enemies of sugar beet root aphid (Pemphigus fuscicornis) In Slovakia [PDF]

, 2006
During 2003-2004, field surveys were realized to observe the distribution of sugar beet aphid, Pemphigus fuscicornis (K o c h) (Sternorrhyncha Pemphigidae) in southwestern Slovakia.
Pačuta Vladimir, Tancik Ján I., Tóth Peter, Tóthová Monika   +3 more
core   +1 more source

Unveiling Salt Tolerance Mechanisms in Plants: Integrating the KANMB Machine Learning Model With Metabolomic and Transcriptomic Analysis

Advanced Science, EarlyView.
Salt stress endangers coastal cereal crops, requiring resilient crop solutions. This study employs machine learning (KANMB) to analyze multi‐omics data from halophyte Spartina alterniflora, revealing 226 salt‐stress biomarkers and linking them to tolerance pathways. The MYB gene SaMYB35 regulates flavonoid biosynthesis under salinity.
Shoukun Chen, Hao Zhang, Shuqiang Gao, Kunhui He, Tingxi Yu, Shang Gao, Jiankang Wang, Huihui Li   +7 more
wiley   +1 more source

Minirhizotron measurements can supplement deep soil coring to evaluate root growth of winter wheat when certain pitfalls are avoided

Plant Methods
Background Root growth is most commonly determined with the destructive soil core method, which is very labor-intensive and destroys the plants at the sampling spots.
Jessica Arnhold, Facundo R. Ispizua Yamati, Henning Kage, Anne-Katrin Mahlein, Heinz-Josef Koch, Dennis Grunwald   +5 more
doaj   +1 more source

Особливості реалізації біологічного потенціалу сортів сої залежно від технологічних прийомів вирощування в умовах Лісостепу України

Plant Varieties Studying and Protection, 2018
Мета. Виявити особливості формування продуктивності сортів сої залежно від застосування органічного добрива, регуляторів росту рослин та вологоутримувача в умовах Лісостепу України. Методи.
О. І. Присяжнюк, С. В. Григоренко, О. Ю. Половинчук   +2 more
doaj   +1 more source

Virtual Temporal Samples for Recurrent Neural Networks: applied to semantic segmentation in agriculture [PDF]

arXiv, 2021
This paper explores the potential for performing temporal semantic segmentation in the context of agricultural robotics without temporally labelled data. We achieve this by proposing to generate virtual temporal samples from labelled still images.
arxiv