Results 41 to 50 of about 1,659,134 (354)
Reevaluating Diversity and the History of Women in Soil Science: A Necessary Step for a Real Change
Spanish Journal of Soil Science, 2022 Over the last decades, diversity in science has focused on the inclusion of individuals from formerly under-represented backgrounds. While this is important, it can result in reducing the topic to a game of numbers and quotas, but individuals are not ...
Laura Bertha Reyes-Sánchez +1 more
doaj +1 more source
Soil Property and Class Maps of the Conterminous US at 100 meter Spatial Resolution based on a Compilation of National Soil Point Observations and Machine Learning [PDF]
, 2017 With growing concern for the depletion of soil resources, conventional soil data must be updated to support spatially explicit human-landscape models. Three US soil point datasetswere combined with a stack of over 200 environmental datasets to generate complete coverage gridded predictions at 100 m spatial resolution of soil properties (percent organic
arxiv +1 more source
smol: Sensing Soil Moisture using LoRa [PDF]
arXiv, 2021 Technologies for environmental and agricultural monitoring are on the rise, however, there is a lack of small, low-power, and lowcost sensing devices in the industry. One of these monitoring tools is a soil moisture sensor. Soil moisture has significant effects on crop health and yield, but commercial monitors are very expensive, require manual use, or
arxiv
Analysis of Potential for Linear Erosion in the Cerrado Biome Using Morphopedology
Revista Brasileira de Ciência do SoloThe Cerrado is a vegetation complex with a wide variety of phytophysiognomies, and sustainable management is essential for maintaining biodiversity. Morphopedology is a tool that can assist in developing plans for control of soil and land use, especially
Deyvid Diego Carvalho Maranhão +5 more
doaj +1 more source
Climatic Optimum as a Factor of the Economic Crisis of Steppe Nomads in the 4th Century AD
Вестник Волгоградского государственного университета. Серия 4. История, регионоведение, международные отношения, 2019 Introduction. Archaeological sites of the 4th century AD absent on most of the area of the Late Sarmatian culture. This may be both due to the difficulties of their identification and absence of chronological indicators and due to migrations of nomads ...
Mikhail V. Krivosheev +1 more
doaj +1 more source
Talking soil science with farmers [PDF]
, 2008 When agricultural researchers visit farms in order to gather information for their research programmes, farmers rarely get proper feedback. Research information on scientific concepts such as soil fertility and nutrient balances is often considered too ...
Ekise, I.E., Misiko, M., Tittonell, P.A.
core +2 more sources
Insertion of the FeB cofactor in cNORs lacking metal inserting chaperones
FEBS Letters, EarlyView.Nitric oxide reductase is an enzyme found in the bacterial denitrification pathway. The NOR active site contains a non‐heme iron, often, but not always inserted with the assistance of chaperones. Here, we study the insertion of FeB in the subfamily of cNORs lacking chaperones and found a putative channel, conserved in the family, perhaps enabling the ...
Sofia Appelgren, Pia Ädelroth
wiley +1 more source
Global patterns in culturable soil yeast diversity
iScience, 2021 Summary: Yeasts, broadly defined as unicellular fungi, fulfill essential roles in soil ecosystems as decomposers and nutrition sources for fellow soil-dwellers. Broad-scale investigations of soil yeasts pose a methodological challenge as metagenomics are
Himeshi Samarasinghe +5 more
doaj
Бюллетень Почвенного института им. В.В. Докучаева, 2023 Konstantin Dmitrievich Glinka made a major contribution to the development of such areas of soil science as genesis, geography, cartography and mineralogy of soils.
A. L. Ivanov, L. V. Orlova
doaj +1 more source
Application of Physics-Informed Neural Networks for Forward and Inverse Analysis of Pile-Soil Interaction [PDF]
arXiv, 2022 The application of the Physics-Informed Neural Networks (PINNs) to forward and inverse analysis of pile-soil interaction problems is presented. The main challenge encountered in the Artificial Neural Network (ANN) modelling of pile-soil interaction is the presence of abrupt changes in material properties, which results in large discontinuities in the ...
arxiv