Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Tiago G. Morais"'
Autor:
Tiago G. Morais, Tiago Domingos, João Falcão, Manuel Camacho, Ana Marques, Inês Neves, Hugo Lopes, Ricardo F. M. Teixeira
Publikováno v:
Frontiers in Remote Sensing, Vol 5 (2024)
IntroductionThe Common Agricultural Policy (CAP) is a vital policy framework implemented by the European Union to regulate and support agricultural production within member states. The Land Parcel Identification System (LPIS) is a key component that
Externí odkaz:
https://doaj.org/article/1220a38a93db475ba6138dc63bc10375
Publikováno v:
European Journal of Remote Sensing, Vol 56, Iss 1 (2023)
ABSTRACT Sown biodiverse pastures (SBP) are a pasture system developed in Portugal. Until 2014, farmers were supported in installing and maintaining SBP, but tracking their locations has been lacking. To survey the country, remote sensing tools with
Externí odkaz:
https://doaj.org/article/62ea932bd25b449cb4b7ae4a05aa97cb
Autor:
Tiago G. Morais, Marjan Jongen, Camila Tufik, Nuno R. Rodrigues, Ivo Gama, João Serrano, Maria C. Gonçalves, Raquel Mano, Tiago Domingos, Ricardo F. M. Teixeira
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Introduction: Soil organic carbon (SOC) sequestration is one of the main ecosystem services provided by well-managed grasslands. In the Mediterranean region, sown biodiverse pastures (SBP) rich in legumes are a nature-based, innovative, and economica
Externí odkaz:
https://doaj.org/article/9914c77c55a343b180c12a24e50c273f
Publikováno v:
Agronomy, Vol 13, Iss 11, p 2741 (2023)
The Montado ecosystem is an important agri-forestry system in Portugal, occupying about 8% of the total area of the country. However, this biodiverse ecosystem is threatened due to factors such as shrub encroachment. In this context, the development
Externí odkaz:
https://doaj.org/article/782f07e9756a4659b2249d9f573d4cc2
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Measurement(s) soil organic carbon depletion Technology Type(s) process-based modelling Factor Type(s) land use class • world region • soil carbon Sample Characteristic - Environment soil Sample Characteristic - Location global Machine-accessible
Externí odkaz:
https://doaj.org/article/65f999a02d974896aa90c7a1c5b7814c
Publikováno v:
Land, Vol 11, Iss 12, p 2238 (2022)
This work aims to measure and value the ecosystem services of grasslands and croplands covered by pasture-based beef farms in Alentejo. It combines pixel-level data from the Portuguese Mapping and Assessment of Ecosystem Services study and farm-level
Externí odkaz:
https://doaj.org/article/267b5ebf2d5941e0a9e4bbf79900f4c8
Publikováno v:
Ecological Indicators, Vol 130, Iss , Pp 108081- (2021)
The study of grasslands using machine learning (ML) methods combined with proximal/remote sensing data (RS) has been steadily increasing in the last decades. Available algorithms range from a primarily academic use to more widespread practical applic
Externí odkaz:
https://doaj.org/article/9a1af780b7e84abdad18462459b2bec5
Autor:
Pedro Vilar, Tiago G. Morais, Nuno R. Rodrigues, Ivo Gama, Marta L. Monteiro, Tiago Domingos, Ricardo F. M. Teixeira
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 814 (2020)
Sown Biodiverse Pastures (SBP) are the basis of a high-yield grazing system tailored for Mediterranean ecosystems and widely implemented in Southern Portugal. The application of precision farming methods in SBP requires cost-effective monitoring usin
Externí odkaz:
https://doaj.org/article/63f7b1c55d5345a8ae975d6680cab5d3
Autor:
Corentin Pinsard, Tiago G. Morais, Tiago Domingos, Francesco Accatino, Ricardo F. M. Teixeira
Publikováno v:
Agronomy for Sustainable Development
Agronomy for Sustainable Development, 2023, 43 (2), pp.33. ⟨10.1007/s13593-023-00883-y⟩
Agronomy for Sustainable Development, 2023, 43 (2), pp.33. ⟨10.1007/s13593-023-00883-y⟩
International audience; The Alentejo region in Portugal is vital to the country's beef industry and is home to 60% of the Portuguese beef cattle population. Farmers increasingly rely on imported synthetic fertilizer and feed. The uncertainty of globa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc1cadac4136b6ab400216cb8a559815
https://hal.inrae.fr/hal-04075652
https://hal.inrae.fr/hal-04075652
Autor:
Tiago G. Morais, Marjan Jongen, Camila Tufik, Nuno R. Rodrigues, Ivo Gama, David Fangueiro, João Serrano, Susana Vieira, Tiago Domingos, Ricardo F. M. Teixeira
Publikováno v:
Precision Agriculture. 24:1181-1182