Results 131 to 140 of about 19,498 (265)

Critical zone agrohydrology: An integrative paradigm for agricultural water sustainability. [PDF]

PNAS Nexus
Zhao Y, Guo L, Liu J, Xue J, Liu J, Chen Y, Cai X, Carroll KC, Jobbagy E, Loheide SP, Boomer KMB, Li Y.   +11 more
europepmc   +1 more source

Integration of Nutrition and Organic Agriculture Framework in Managing Gastrointestinal Nematodes in Ruminants

Animal Research and One Health, EarlyView.
Gastrointestinal nematode infections damage the gastrointestinal epithelial tissues of ruminants, affecting nutrient utilization and overall production performance. This review outlines host‐gastrointestinal nematode interactions and discusses integrated control strategies, including nutritional supplementation, grazing management, vaccines, and ...
Wenxun Chen, Xiangfang Tang, Yimin Zhuang, Shengjun Zhao, Ying Ren, Xiaokang Lv   +5 more
wiley   +1 more source

Monitoring land degradation by soil salinity using Sentinel-2 satellite data and GIS techniques: A case study of Sabkhat Ghuwaymid, Saudi Arabia. [PDF]

PLoS One
Alneami A, Almuthibi A, Alqahtani M, Alameen AA, Alahmadi S, Alharbi F, Almutairi S, Alshafaey M.   +7 more
europepmc   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Soil classification in the Sudan Savanna using sentinel products and topographic information with machine learning models. [PDF]

Sci Rep
Maung WS, Kenta I, Toru S, Saïdou S, Lamine Z, Nicolas K.   +5 more
europepmc   +1 more source

A Geomorphometric Approach to Estimate the Deterioration of Earthen Archaeological Sites by Rainfall and Diffusion Processes: The Huaca Chornancap (Eighth–14th Century ad), Lambayeque, Peru

Archaeological Prospection, EarlyView.
ABSTRACT Rain‐induced erosion processes can severely damage Earthen archaeological sites. Huaca Chornancap (HCH; eighth–14th century ad) is a platform located in the Lambayeque region (Peru) exposed to seasonal rain due to El Niño Southern Oscillation (ENSO).
Luigi Magnini, Maria Ilaria Pannaccione Apa, Robert Gutiérrez Cachay, Marco Fernández Manayalle, Carlos Eduardo Wester La Torre, Guido Ventura   +5 more
wiley   +1 more source

A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms. [PDF]

PLoS One
Veloso GV, de Mello DC, Fernandes-Filho EI, de Souza CMP, da Silva LAP, Santo MME, Vasques GM, Coelho MR, Demattê JAM.   +8 more
europepmc   +1 more source

A Prospection‐Led Archaeological Investigation of a Picenian and Roman Necropolis in Corinaldo (Marche, Italy)

Archaeological Prospection, EarlyView.
ABSTRACT This paper presents the results of an integrated archaeological and geophysical investigation conducted between 2018 and 2024 at the newly discovered Picenian and Roman necropolis of Contrada Nevola (Corinaldo, Marche, Central Italy), identified in the framework of development‐led archaeology. The research strategy combined aerial photography,
Federica Boschi
wiley   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Integrating remote sensing and multi-criteria decision analysis for groundwater zoning in the Eastern Desert of Egypt. [PDF]

Sci Rep
Ezz H.
europepmc   +1 more source