Article
Environmental Sciences
Xiaokai Chen, Fenling Li, Botai Shi, Qingrui Chang
Summary: This study aimed to evaluate winter wheat plant nitrogen concentration (PNC) at different growth stages in the Guanzhong area using three different prediction methods based on UAV hyperspectral imagery. The machine learning regression method, especially SVMR and RFR, showed significant improvement in the estimation accuracy of PNC compared to parametric regression and linear nonparametric regression. It was concluded that estimating PNC at the flowering and filling stages from UAV hyperspectral imagery using machine learning methods, SVMR and RFR, provided the best estimation performance.
Article
Multidisciplinary Sciences
Mehmet Karaucak, Daniel Steiniger, Nikolaus Boroffka
Summary: The conflict-ridden recent history in Afghanistan has made it difficult to launch major archaeological projects and advanced field research in the past forty years. However, the increasing availability of satellite imagery and remote sensing methods have provided much-needed impetus for documentation and monitoring of the heritage in Afghanistan. Novel site data obtained through publicly available satellite imagery in the southwestern region of Kandahar include cultural heritage such as settlement mounds, architectural remains, religious monuments, fortresses, and traditional water management systems. The advantages and drawbacks of remote sensing surveys for archaeological research in Afghanistan are discussed, with the shared data for further research and cultural heritage management in the region.
Review
Microbiology
Emma Dutilloy, Feyisara Eyiwumi Oni, Qassim Esmaeel, Christophe Clement, Essaid Ait Barka
Summary: This review discusses the application of beneficial bacteria in controlling wheat and barley pathogens and explores the mechanisms involved. The study finds that Bacillus and Pseudomonas strains can reduce the incidence of diseases in wheat and barley. However, there are challenges in translating these research findings into commercial products and applications.
Article
Agriculture, Dairy & Animal Science
Marian Burducea, Ivayla Dincheva, Lenuta Dirvariu, Eugen Oprea, Valtcho D. Zheljazkov, Cristian-Alin Barbacariu
Summary: This study assessed the effects of adding plant extracts to fish diet on the growth and meat quality of common carp. The results showed that the inclusion of wheat grass juice and barley grass juice stimulated growth and improved meat quality. The positive effects could be attributed to the rich composition of the juices, including unsaturated fatty acids, amino acids, sugars, and organic compounds.
Article
Plant Sciences
Taehwan Shin, Jonghan Ko, Seungtaek Jeong, Ashifur Rahman Shawon, Kyung Do Lee, Sang In Shim
Summary: The study integrated proximal sensing images from a remote-controlled aerial system with a crop model to simulate wheat growth and yield, providing an enhanced alternative for monitoring field-based geospatial crop productivity. The proposed approach accurately reproduced geospatial variations in wheat yield and growth variables, proving its validity for practical monitoring of wheat growth and productivity at the field level.
FRONTIERS IN PLANT SCIENCE
(2021)
Review
Agriculture, Multidisciplinary
Lei Feng, Shuangshuang Chen, Chu Zhang, Yanchao Zhang, Yong He
Summary: This review focuses on the applications of UAVs in high-throughput phenotyping of different plant traits using different phenotyping sensors. The review briefly introduces UAV platforms and phenotyping sensors, summarizes applications of UAVs for obtaining and analyzing plant phenotype traits, compares different phenotyping sensors, and discusses challenges and future prospects of using UAVs for remote sensing in phenotyping studies.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Environmental Sciences
Jianqiang Ren, Ningdan Zhang, Xingren Liu, Shangrong Wu, Dandan Li
Summary: The study focuses on obtaining spatial information on winter wheat D-HI using UAV hyperspectral data, with a proposed method showing high accuracy. It may serve as a technical reference for developing satellite-based indices to monitor large-scale crop HI information.
Article
Plant Sciences
Ryo Fujiwara, Tomohiro Kikawada, Hisashi Sato, Yukio Akiyama
Summary: Remote sensing using UAVs and SfM is useful for sustainable and cost-effective agricultural field management. Different factors, such as camera angles, RTK, GCPs, and GA methods, were compared for their predictive performance on maize plant height. The study found that the low-cost method achieved comparable results, suggesting its potential for low-cost and high-precision PH monitoring.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Cheng Liu, Chengzhi Xing, Qihou Hu, Shanshan Wang, Shaohua Zhao, Meng Gao
Summary: This article reviews the recent advances in hyperspectral remote sensing techniques and discusses the future application prospects in air pollution monitoring. It recommends the use of a multi-means joint hyperspectral stereoscopic remote sensing monitoring mode for effective monitoring and regulation of air pollution.
EARTH-SCIENCE REVIEWS
(2022)
Article
Engineering, Electrical & Electronic
Manish Sharma, Mayur Dhanaraj, Srivallabha Karnam, Dimitris G. Chachlakis, Raymond Ptucha, Panos P. Markopoulos, Eli Saber
Summary: Deep-learning object detection methods designed for computer vision applications perform poorly on remote sensing data due to difficulties in collecting training data, small target sizes, and arbitrary perspective transformations. Fusion of data from multiple remote sensing modalities can improve detection performance. YOLOrs is a new convolutional neural network specifically designed for real-time object detection in multimodal remote sensing imagery, capable of detecting objects at multiple scales and predicting target orientations.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Plant Sciences
Umar Mohammed, Jayne Davis, Steve Rossall, Kamal Swarup, Nathan Czyzewicz, Rahul Bhosale, John Foulkes, Erik H. H. Murchie, Ranjan Swarup
Summary: This study investigated the effects of phosphite treatment on wheat growth under nutrient, water, and heat stresses. The results showed that phosphite treatment improved root architecture, increased root biomass, and enhanced plant tolerance to abiotic stresses. The improvement in stress tolerance was attributed to increased nitrogen and carbon assimilation, as well as improved root growth.
FRONTIERS IN PLANT SCIENCE
(2022)
Review
Remote Sensing
Lucas Prado Osco, Jose Marcato Junior, Ana Paula Marques Ramos, Lucio Andre de Castro Jorge, Sarah Narges Fatholahi, Jonathan de Andrade Silva, Edson Takashi Matsubara, Hemerson Pistori, Wesley Nunes Goncalves, Jonathan Li
Summary: This paper reviews the recent research on DNN algorithms applied in UAV-based image applications, focusing on the use of classification and regression techniques and discussing potential future directions in this field.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Review
Environmental Sciences
Jie Zheng, Xiaoyu Song, Guijun Yang, Xiaochu Du, Xin Mei, Xiaodong Yang
Summary: Nitrogen is a crucial element for crop growth and yield formation. Remote sensing has become a preferred method for monitoring crop nitrogen content, replacing traditional destructive techniques. This study reviews the current trends and challenges in remote sensing monitoring of nitrogen, and highlights the importance of precise monitoring for efficient fertilizer management and sustainable agricultural production.
Article
Environmental Sciences
Imran Ahmed, Misbah Ahmad, Abdellah Chehri, Mohammad Mehedi Hassan, Gwanggil Jeon
Summary: Advanced collaborative and communication technologies have a significant impact in intelligent services and applications, particularly in smart cities. IoT systems, combined with deep learning methods, have shown great potential in smart remote monitoring applications. This article presents an IoT-enabled smart surveillance solution for multiple object detection through segmentation.
Review
Environmental Sciences
Tarini Shukla, Wenwu Tang, Carl C. Trettin, Gang Chen, Shenen Chen, Craig Allan
Summary: Microtopography plays a crucial role in ecological, hydrological, and biogeochemical processes, but its quantification is a data-intensive challenge. Close-range remote sensing data and techniques have emerged as powerful tools to quantify microtopography. The main objective of this article is to provide a systematic framework for microtopographic studies using close-range remote sensing technologies.
Article
Agronomy
Pavel Tlustos, Michal Hejcman, Eva Kunzova, Lukas Hlisnikovsky, Hana Zamecnikova, Jirina Szakova
ARCHIVES OF AGRONOMY AND SOIL SCIENCE
(2018)
Article
Geosciences, Multidisciplinary
Jan Horak, Martin Janovsky, Michal Hejcman, Ladislav Smejda, Tomas Klir
Article
Ecology
Pavla Mladkova, Jan Mladek, Stanislav Hejduk, Michal Hejcman, Robin J. Pakeman
Article
Agronomy
Ondrej Cudlin, Josef Hakl, Michal Hejcman, Pavel Cudlin
PLANT SOIL AND ENVIRONMENT
(2018)
Article
Geography, Physical
Ladislav Smejda, Michal Hejcman, Jan Horak, Itzhaq Shai
QUATERNARY INTERNATIONAL
(2018)
Article
Agronomy
Lukas Hlisnikovsky, Michal Hejcman, Eva Kunzova, Ladislav Mensik
ARCHIVES OF AGRONOMY AND SOIL SCIENCE
(2019)
Article
Agronomy
Jan Gaisler, Lenka Pavlu, Chukwudi Nwaogu, Klara Pavlu, Michal Hejcman, Vilem V. Pavlu
GRASS AND FORAGE SCIENCE
(2019)
Article
Multidisciplinary Sciences
Pavla Hejcmanova, Magdalena Mirejovska, Petr Homolka, Michal Hejcman
SCIENTIFIC REPORTS
(2019)
Article
Environmental Sciences
Manuel Teodoro, Michal Hejcman, Martina Vitkova, Songlin Wu, Michael Komarek
SCIENCE OF THE TOTAL ENVIRONMENT
(2020)
Article
Plant Sciences
Jan Titera, Vilem V. Pavlu, Lenka Pavlu, Michal Hejcman, Jan Gaisler, Juergen Schellberg
APPLIED VEGETATION SCIENCE
(2020)
Article
Geosciences, Multidisciplinary
Martin Petr Janovsky, Petr Karlik, Jan Horak, Ladislav Smejda, Michael Asare Opare, Jaromir Benes, Michal Hejcman
Article
Soil Science
Michael O. Asare, Jan Horak, Ladislav Smejda, Martin Janovsky, Michal Hejcman
Summary: Archaeological Dark Earth soil is a type of archaeological anthrosols known for higher nutrient content and organic matter stocks, resulting in higher crop yields than neighboring soil. A study on European Dark Earth (EDE) soil in Czech Republic found that EDE soil had higher soil reaction and total element contents compared to control soil.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2021)
Article
Soil Science
Michael O. Asare, Wazi Apoh, Jerry Owusu Afriyie, Jan Horak, Ladislav Smejda, Michal Hejcman
Article
Anthropology
Michael O. t Asare, Ladislav Smejda, Jan Horak, Petr Holodnak, Miroslav Cerny, Vilem Pavlu, Michal Hejcman
ARCHAEOLOGICAL AND ANTHROPOLOGICAL SCIENCES
(2020)
Article
Soil Science
Michael O. Asare, Jerry Owusu Afriyie, Michal Hejcman
Summary: The study compares the physical and chemical properties of Anthrosols developed on a missionary settlement in Ghana with control soil unaffected by settlement activities. The results show that the Anthrosols have higher levels of organic C, total elements, and plant-available elements compared to the control soil. The study suggests that mineral fertilizer applications should be adjusted for arable fields on previous settlement sites due to the substantial enrichment of plant-available elements.
SOIL USE AND MANAGEMENT
(2022)
Article
Anthropology
Julia Becher, Alex Schoeman, Gavin Whitelaw, Stephen Buckley, Jean-Pierre Celliers, Sara Cafisso, Matthias Belser, Maxime Rageot, Cynthianne Spiteri
Summary: This study represents the first application of Organic Residue Analysis (ORA) to southern African early farming pottery to gain a deeper understanding of past human behavior and subsistence patterns. The study found evidence of dairy processing and multi-purpose functionality of the ceramics. It also discovered potential medicinal use and the involvement of dung in pottery sealing and mending.
JOURNAL OF ARCHAEOLOGICAL SCIENCE
(2024)
Article
Anthropology
Jon Clindaniel, Matthew Magnani
Summary: Large sources of digital trace data have become important in the study of material culture. The authors introduce a computational method to observe digital formation processes and highlight the importance of accounting for these processes in studies utilizing digital trace data.
JOURNAL OF ARCHAEOLOGICAL SCIENCE
(2024)
Article
Anthropology
Rebecca A. G. Reid, Miranda M. E. Jans, Lesley A. Chesson, Rebecca J. Taylor, Gregory E. Berg
Summary: Chemical treatment of skeletal remains can reduce overall DNA quality and quantity but has no significant impact on stable isotope ratio analysis. Examination of treated and untreated human remains through histological and stable isotope analysis reveals that treated remains exhibit better preservation compared to untreated remains. Stable isotope ratio analysis is viable for both treated and untreated remains, regardless of their origin.
JOURNAL OF ARCHAEOLOGICAL SCIENCE
(2024)
Article
Anthropology
Laura Tome, Eneko Iriartec, Antonio Blanco-Gonzalez, Margarita Jambrina-Enriquez, Natalia Eguez, Antonio V. Herrera-Herrera, Carolina Mallola
Summary: This paper presents the outcomes of a microcontextual geoarchaeological study conducted on earthen dwellings from the Early Iron Age village of Cerro de San Vicente. The study employed soil micromorphology, lipid biomarker analysis, XRD, and XRF analyses to investigate various aspects of the dwellings, including construction materials, site formation processes, and daily life practices. The results have shed light on the construction layers, floor use, maintenance, repaving, periods of abandonment and decay, and the presence of lipid biomarkers associated with dwelling functionality. The study significantly contributes to our understanding of ancient construction practices and the utilization of domestic spaces during the Early Iron Age.
JOURNAL OF ARCHAEOLOGICAL SCIENCE
(2024)