Progress, highlights and perspectives on NiO in perovskite photovoltaics

D Di Girolamo, F Di Giacomo, F Matteocci… - Chemical …, 2020 - pubs.rsc.org
The power conversion efficiency (PCE) of NiO based perovskite solar cells has recently hit a
record 22.1% with a hybrid organic–inorganic perovskite composition and a PCE above …

[HTML][HTML] Forecasting the right crop nutrients for specific crops based on collected data using an artificial neural network (ANN)

S Amertet, G Gebresenbet - Machine Learning and Knowledge Extraction, 2024 - mdpi.com
In farming technologies, it is difficult to properly provide the accurate crop nutrients for
respective crops. For this reason, farmers are experiencing enormous problems. Although …

Impact of teaching a neuro-computerized course through VLE to develop computational thinking among mathematics pre-service teachers

YAM Abouelenein… - Journal of Educational …, 2023 - journals.sagepub.com
The current study aims to determine the effect of teaching a mechanic neuro-computerized
course through virtual learning environments (VLE) to develop computational thinking …

Application of image processing and soft computing strategies for non-destructive estimation of plum leaf area

A Sabouri, A Bakhshipour, MH Poornoori, A Abouzari - PLoS One, 2022 - journals.plos.org
Plant leaf area (LA) is a key metric in plant monitoring programs. Machine learning methods
were used in this study to estimate the LA of four plum genotypes, including three …

'Where are my robots, Mija?!'A Situated Review of Technological Change Narratives in Latin America

N Didier, M Perez-Comisso - The de gruyter handbook of automated …, 2024 - degruyter.com
The current framing regarding the future of jobs and automation is primed by developed
countries' imaginaries, discourses, and sociohistorical experiences during the Third …

[PDF][PDF] Internet of things in Mexican agriculture; a technology to increase agricultural productivity and reduce rural poverty

JC Negrete - Research and Analysis Journal, 2018 - researchgate.net
Agricultural growth reduces poverty extreme, the intensity of poverty and income inequality
for society in general. On the contrary, the lack of dynamism in agricultural growth and …

[PDF][PDF] Nanotechnology an option in Mexican agriculture

JC Negrete - Journal of Biotechnology & Bioin-formatics …, 2020 - researchgate.net
In Mexico, agriculture is increasingly less profitable, due to this situation its contribution to
the country's economy decreases day by day, which has encouraged the import of food, thus …

[HTML][HTML] Predicting wheat production in Pakistan by using an artificial neural network approach

F Aslam, A Salman, I Jan - Sarhad Journal of Agriculture, 2019 - researcherslinks.com
Forecasting of wheat production is of great importance for farmers and agriculture policy
makers to improve production planning decisions. Numerous studies proved that traditional …

[HTML][HTML] Artificial neural networks for predicting animal thermal comfort

PHM Borges, ZMSH de Mendoza, PHM Morais… - Engenharia …, 2018 - SciELO Brasil
The objective of this study was to develop artificial neural networks (ANNs) for predicting
animal thermal comfort based on temperature and relative humidity of the air for each day of …

Potential of image processing, dielectric spectroscopy and intelligence methods in order to authentication of microalgae biodiesel

M Rashvand, A Zenouzi, R Abbaszadeh - Measurement, 2019 - Elsevier
Due to increasing the consumption and limited access of fossil fuels, alternative and clean
energy sources is required. On the other hand, the production of biodiesel from some plants …