|
|
|
|
|
Victor Hugo da Motta Paca, Everaldo Barreiros de Souza, Joaquim Carlos Barbosa Queiroz and Gonzalo E. Espinoza-Dávalos
The aim of this study was to assess precipitation (P) and actual evapotranspiration (ET) by analyzing data from in situ stations compared with remote sensing products. Climate Hazards Center InfraRed Precipitation (CHIRP) and Climate Prediction Center mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jianyong Zhang, Yanling Zhao, Zhenqi Hu and Wu Xiao
Rapid estimation of above-ground biomass (AGB) with high accuracy is essential for monitoring crop growth status and predicting crop yield. Recently, remote sensing techniques using unmanned aerial systems (UASs) have exhibited great potential in obtaini...
ver más
|
|
|
|
|
|
|
|
|
|
|
Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía-Oller, Miguel Martínez-Comesaña and Sérgio Ramos
Characterizing the electric energy curve can improve the energy efficiency of existing buildings without any structural change and is the basis for controlling and optimizing building performance. Artificial Intelligence (AI) techniques show much potenti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mugdha P. Kshirsagar and Kanchan C. Khare
The present study is an attempt to model the stormwater quality of a stream located in Pune, India. The city is split up into twenty-three basins (named A to W) by the Pune Municipal Corporation. The selected stream lies in the haphazardly expanded peri-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan V. Molner, Juan M. Soria, Rebeca Pérez-González and Xavier Sòria-Perpinyà
Water transparency, a crucial environmental indicator, was assessed during fieldwork via Secchi disk depth (ZSD) measurements. Three optical models (R490/R560, R490/R705, and R560/R705) were explored to establish a robust algorithm for ZSD estimation. Th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sebastian C. Ibañez and Christopher P. Monterola
Accurate prediction of crop production is essential in effectively managing the food security and economic resilience of agricultural countries. This study evaluates the performance of statistical and machine learning-based methods for large-scale crop p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ganapathy Ramesh, Jaganathan Logeshwaran, Thangavel Kiruthiga and Jaime Lloret
In general, reliable PV generation prediction is required to increase complete control quality and avoid potential damage. Accurate forecasting of direct solar radiation trends in PV power production could limit the influence of uncertainties on photovol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xianguan Chen, Huiqing Bai, Qingyu Xue, Jin Zhao, Chuang Zhao and Liping Feng
This project aims to improve the wheat growth and development simulation model (WheatSM) V4.0, a renowned wheat model, by addressing limitations in its structure and modules. The WheatSM V4.0 excelled numerically but lacked modularity, hindering maintena...
ver más
|
|
|
|
|
|
|
|
|
|
|
Donghyun Kim, Sijung Choi, Sungkyu Kang and Huiseong Noh
Drought has significant impacts on both society and the environment, but it is a gradual and comprehensive process that affects a region over time. Therefore, non-structural measures are necessary to prepare and respond to the damage caused by drought in...
ver más
|
|
|
|
|
|
|
|
|
|
|
César Augusto Terán-Chaves, Alberto García-Prats and Sonia Mercedes Polo-Murcia
Crop models that can accurately estimate yield and final biomass have been used for major herbaceous crops and to a lesser extent in forage systems. The AquaCrop version 7.0 contains new modules that have been introduced to simulate the growth and produc...
ver más
|
|
|
|
|
|