Renewable energy arises as a tool for the supply of energy to the agriculture sector. Currently, there is a growing concern for the environment. This circumstance has led to technological progress in energy use in relation to natural resources and their availability for all productive sectors, including agriculture. The main objective of this work is to perform analysis from a bibliometric point of view and to analyze scientific advances in renewable energy and agriculture worldwide that have occurred in the last three years (2019–2021). The purpose of this study is to provide an overview of the last three years on the topic in order to contribute to the international scientific community, specifically towards collaboration between authors, institutions, and countries. A keyword analysis using community detection was applied to detect the five main clusters of this research and was largely dedicated to the following topics: renewable energy technologies in agriculture, bioenergy, sustainable agriculture, biomass energy, and the environmental impact of agriculture. The main countries found to be conducting research on renewable energy and agriculture include India, China, the United States, Italy, the United Kingdom, Poland, Indonesia, Germany, the Russian Federation, and Spain; the most important institutions conducting research in this area include the Ministry of Agriculture of the People’s Republic of China, the Tashkent Institute of Irrigation and Agricultural Mechanization Engineers at the National Research University in Uzbekistan, the Chinese Academy of Agricultural Sciences, and the Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento in Portugal. These results may contribute to the identification of new research needs and therefore to the development of future directions of research on renewable energies in the agricultural sector.

Fires in photovoltaic (PV) electrical systems are a real and serious problem because this phenomenon can have severe consequences for the safety of people and the environment. In some cases, fires result from a lack of maintenance or improper installation of PV modules. It is essential to consider prevention and continuous monitoring of the electrical parameters to minimize these risks, as these factors increase the temperature of the photovoltaic modules. The use of thermal analysis techniques can prevent hotspots and fires in photovoltaic systems; these techniques allow detecting and correcting problems in the installation, such as shadows, dirt, and poor-quality connections in PVs. This paper presents a case study of the implementation of thermal analysis in an installation of photovoltaic modules connected to a solar pumping system to identify the formation of hotspots through thermal images using an unmanned aerial vehicle (UAV). Here, a novel methodology is proposed based on the comparison of temperature increases concerning the values of short circuit current, open circuit voltage, and real efficiency of each PV module. In addition, an electrical safety methodology is proposed to design a photovoltaic system that prevents fires caused by hotspots, contemplating critical parameters such as photovoltaic power, number of photovoltaic modules, DC:AC conversion ratio, electrical conductor selection, control devices, and electrical protection; the performance power expected was obtained using standard power test conditions, including irradiance factor, photovoltaic module (PVM) temperature factor, and power reduction factor.

YBa₂Cu₃O_7-x films were deposited onto flexible copper substrates by screen printing technique. YBa₂Cu₃O_7-x films were prepared from a YBa₂Cu₃O_7-x superconductor powder with ethylene glycol. The mixtures were screen printed and then sintered in air at different temperatures: 373, 473, and 573 K. The structural characterization showed the presence of different phases; the proportion of phases in films depends on sintering temperature. Scanning electron microscope images showed that an annealing temperature increase leads to an increase in grain size due to a coalescence process, which promotes the growth of superconductor phases with higher oxygen content.

This work presents the design and implementation of a real-time monitoring system for photovoltaic solar panels, addressing the need for affordable and accessible tools to evaluate solar energy efficiency in educational and resource-limited contexts. The system employs two low-cost $\mathrm{I}^{2} \mathrm{C}$ sensors: the INA219 (for current measurement) and the BH1750 (for illuminance), both connected to an Arduino UNO board. The acquired data are processed using Python within the PyCharm development environment, with records stored in text files and Excel spreadsheets. An empirical lux-to-irradiance ($\mathrm{W} / \mathrm{m}^{2}$) conversion is proposed to estimate the solar energy generation efficiency. Experimental results demonstrate a strong correlation ($\mathrm{R}^{\mathrm{2}} \approx \text{0. 8 6}$) between estimated irradiance and generation power, with efficiencies ranging between $\text{1 0 - 1 3 \%}$ under full sunlight. This confirms the system's suitability for evaluating panel behavior under varying illumination. The proposed solution is cost-effective, replicable, and educationally oriented, making it a useful tool for early-stage research and academic applications in renewable energy.

A Bi1.6Pb0.4Sr2Ca2Cu3Oy superconductor target was obtained by a solid-state reaction at 860 °C by 130 h. Afterward, Bi1.6Pb0.4Sr2Ca2Cu3Oy thin films were grown by pulsed laser deposition at room temperature, from pellets of the synthesized target, on (111) silicon substrates. Bi1.6Pb0.4Sr2Ca2Cu3Oy films were deposited using an Nd:YAG laser with two different incident wavelengths (532 and 1064 nm) and by varying the distance between the target and the substrate: 20, 25, and 30 mm. X-ray diffraction results showed that Bi1.6Pb0.4Sr2Ca2Cu3Oy films were obtained with Bi-2223 and Bi-2212 superconductor phases.