Carlos Hernández

ORCID: 0000-0001-5171-2516
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About
Contact & Profiles
Research Areas
  • Radioactivity and Radon Measurements
  • Remote Sensing in Agriculture
  • Hydrology and Drought Analysis
  • Crop Yield and Soil Fertility
  • Radioactive contamination and transfer
  • Heavy metals in environment
  • Occupational Health and Safety in Workplaces
  • Business, Innovation, and Economy
  • Marine animal studies overview
  • Nuclear and radioactivity studies
  • Soybean genetics and cultivation
  • Microplastics and Plastic Pollution
  • Hydrological Forecasting Using AI
  • Soil Moisture and Remote Sensing
  • Cephalopods and Marine Biology
  • Banana Cultivation and Research
  • Coastal wetland ecosystem dynamics
  • Leaf Properties and Growth Measurement
  • Ecology and biodiversity studies
  • Latin American Urban Studies
  • Coastal and Marine Management
  • Effects of Environmental Stressors on Livestock
  • Higher Education and Sustainability
  • Soil Geostatistics and Mapping
  • Soil and Land Suitability Analysis

Kansas State University
2021-2024

Pontifical Catholic University of Peru
2024

International University of Monaco
2023

University of Cienfuegos
2004-2020

Instituto de Ecología
2019

Tecnalia
2012

Correndo et al., (2022). metrica: an R package to evaluate prediction performance of regression and classification point-forecast models. Journal Open Source Software, 7(79), 4655, https://doi.org/10.21105/joss.04655

10.21105/joss.04655 article EN cc-by The Journal of Open Source Software 2022-11-25

The problem of plastic pollution is receiving increasing attention worldwide, but there are still gaps in addressing the due to a lack sufficient awareness, knowledge, technology, funding and effective policy. Analyses evidence show that nuclear applications can complement existing technologies thus accelerate transition towards circular economy for plastics. However, potential contribution science technology address waste not well known therefore rarely included proposals sustainable,...

10.5194/oos2025-1549 preprint EN 2025-03-26

Soybean [Glycine max L. (Merr.)] seed composition is receiving increased attention among farmers, agronomists, and commodity traders. Increasing the ability to predict quality traits such as protein oil at field level before harvest will provide a competitive segregate create an economic advantage position production both domestic global markets. Therefore, this study aims use remote sensing satellite data spatially soybean concentrations time. The dataset consisted of 47 fields located in...

10.1016/j.compag.2023.108096 article EN cc-by-nc-nd Computers and Electronics in Agriculture 2023-08-03

Estimating pasture biomass has emerged as a promising avenue to assist farmers in identifying the best cutting times for maximizing yield using satellite data. This study aims develop an innovative framework integrating field and data estimate aboveground alfalfa (Medicago sativa L.) at farm scale. For this purpose, samples were collected throughout 2022 growing season on different mowing dates three fields Kansas, USA. The employed comprised four sources: Sentinel-2, PlanetScope, Planet...

10.3390/rs16183379 article EN cc-by Remote Sensing 2024-09-11

Investigating soil and climate variability is critical to defining environments for field crops, understanding yield-limiting factors, contributing the sustainability resilience of agro-ecosystems. Following this rationale, aim study was develop a soil–climate characterization describe environmental constraints in Senegal summer-crops region. For database, 825 samples were collected characterizing pH, electrical conductivity (EC), phosphorus (P), potassium (K), cation exchange capacity...

10.3390/su132111739 article EN Sustainability 2021-10-24

Abstract Seed expense is a critical component affecting soybean ( Glycine max L.) production cost. Achieving potential benefits of adjusting seeding rates by yield environment requires translation from theory to practice through decision support tools. This article introduces the variable‐rate (VRS) simulator, an interactive web‐tool designed facilitate VRS decisions. A group agronomists and farmers provided input feedback tool's original design, usability, features, tool outputs. The...

10.1002/agj2.21181 article EN cc-by Agronomy Journal 2022-09-28

Objetivo: Describir el uso de bebederos artificiales por venado cola blanca (Odocoileus virginianus) en una UMA extensiva la Reserva Biosfera Tehuacán-Cuicatlán.
 Diseño/metodología/aproximación: Se monitorearon empleando 26 cámaras-trampa durante las temporadas secas 2014, 2016 y 2018. estimó tasa visita patrón diurno visitas a los bebederos. Los análisis se hicieron programa R.
 Resultados: La promedio fue 4.14 venados/100 días. En temporada seca del 2018 esta significativamente...

10.32854/agrop.v0i0.1406 article ES cc-by-nc Agro Productividad 2019-06-05

En las últimas décadas los desechos plásticos han sido reconocidos como contaminantes marinos emergentes de gran importancia, por su persistencia, omnipresencia y ser un tóxico potencial debido a que adsorben orgánicos en alto grado. Estudios anteriores reportan mayores valores microplásticos bahías cerradas con actividad industrial. la bahía Cienfuegos se cuantificado diferentes pero no existen estudios reportados para evaluación este ecosistema. trabajo nos planteamos realizar estudio...

10.7818/ecos.2085 article ES cc-by-nc Ecosistemas 2020-12-30

Resulta difícil entender por qué en el Perú, una actividad productiva característica y líneas generales tan exitosa a nivel macroeconómico como lo es la agricultura está subdividida un subsector altamente productivo -agroexportador, que posiciona sus productos los mercados más exigentes global- de familiar mantiene su actor principal, agricultor tradicional, estado subsistencia. Este último parece haberse estancado tiempo, conservando matriz centrada cultivos transitorios baja rentabilidad,...

10.17268/agroind.sci.2024.02.08 article ES cc-by-nc Agroindustrial science 2024-07-30
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