Results 181 to 190 of about 2,989 (265)

Remote Sensing for Irrigation Water Management—The State of the Art and Prospects for Near‐Future Operations

Irrigation and Drainage, EarlyView.
ABSTRACT A recent UN report describes many regions as facing ‘water bankruptcy,’ a condition in which available water resources can no longer meet existing demands. In practice, this means irrigation will likely bear the greatest burden of future water‐use reductions, a complicated and fraught decision to make given its critical role in food security ...
Wim G. M. Bastiaanssen, Chris Perry, Royce Dalby, Yasir Mohamed, Xueliang Cai, Poolad Karimi, IJsbrand de Jong, Pasquale Steduto, Marat Beksultanov, Christopher C. M. Neale, David Molden, Waqas Awan, Laarousi Mohamed, Jippe Hoogeveen, Jeff Davids, Nutchanart Sriwongsitanon, P. S. Rao, Roula Bachour, Palitha Bandara, Sophea Chhim, Richard Evans, Tom Lahad, D. Nagesh Kumar, Zakaria Adawy, Devendra Singh Bundela, Kawa Hakzi, Isaya Kisekka, Nicolas Puelma, Alejandro A. Pannunzio, Benjamin Koetz, Mukhiddin Ibragimov   +30 more
wiley   +1 more source

An indoor radio mapping dataset combining 3D point clouds and RSSI. [PDF]

Data Brief
Milosheski L, Akiyama K, Bertalanič B, Hribar J, Shinkuma R.   +4 more
europepmc   +1 more source

Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome

International Journal of Climatology, EarlyView.
This study demonstrates that ERA5 provides more accurate surface radiation flux estimates than MERRA2 across the Southern Brazilian Pampa. Machine learning models, particularly Random Forest, further improved the precision of reanalysis data for climate applications.
Olusola Samuel Ojo, Michel Baptistella Stefanello, Alecsander Mergen, Maria Eduarda Oliveira Pinheiro, Vanessa de Arruda Souza, Débora Regina Roberti   +5 more
wiley   +1 more source

Design and Experimental Evaluation of a Hierarchical LoRaMESH-Based Sensor Network with Wi-Fi HaLow Backhaul for Smart Agriculture. [PDF]

Sensors (Basel)
Van CC, Tuan AT, Cong DL.
europepmc   +1 more source

Hybrid Machine Learning–Geostatistical Modeling of Soil Quality in Saline–Sodic Soils Under Arid Agroecosystems of Northwestern Peru

Journal of Plant Nutrition and Soil Science, EarlyView.
ABSTRACT Background Soil fertility management in mango and banana production systems in northern Peru is limited by marked spatial heterogeneity, driven by chemical imbalances, particularly salinity, alkalinity, and sodicity. Aim This study developed a spatial predictive framework to assess soil quality across the agricultural area of Morropón Province,
Sebastian Casas‐Niño, Gerson La Rosa Lama, Sharon Mejia, Ruth Mercado, Kenyi Quispe   +4 more
wiley   +1 more source

Design of Reliable, Resilient, and Robust Architecture and Control for Next-Generation Optical-Wireless Networks. [PDF]

Sensors (Basel)
Nleya B, Pule B.
europepmc   +1 more source

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source

Robots in Crisis and Disaster Management: Advances in Technology, Applications, and Emerging Trends. [PDF]

Sensors (Basel)
Wilk-Jakubowski G, Kaczmarski D, Wilk-Jakubowski J.   +2 more
europepmc   +1 more source

Assessing plant water status: Part 2 – Non‐destructive and remote sensing approaches

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Precise, real time and non‐destructive assessment of plant water status is important for advancing plant physiological understanding, optimizing water usage, improving crop resilience and supporting precision agriculture in the face of increasingly variable climatic conditions.
Naila Farooq, Bo Zhang, Bastian Leander Franzisky, Tasawer Abbas, Jochen Taiber, Martin Koch, Ian C Dodd, Christoph‐Martin Geilfus   +7 more
wiley   +1 more source