Recently, technological development has become increasingly pronounced, with great advances in all production areas, including agriculture. In the agricultural sector, improvements in machinery and the study of new techniques have resulted in the increased efficiency and productivity of different crops. In particular, UAVs (unmanned aerial vehicles) are increasingly used in agriculture. Among the latest utilities is the application of phytosanitary products. The use of small UAVs retrofitted with spraying systems make it possible to treat large surfaces in short periods of time, achieving a reduction in inputs and time compared to conventionally used methods (trailed sprayers). The aim of this work was to compare conventional sprayers and UAV sprayers on a farm in Spain, with olive and vineyard crops. The determining factors in the choice of one or another alternative were studied, such as the economic requirements and efficiency of different alternatives. The results show that a large investment is required to acquire a UAV sprayer, while operating costs are higher for conventional sprayers versus UAV sprayers. Efficiency (ha/h) is much higher for UAV sprayers. In addition to these advantages, UAV sprayers require a lower cost of water and products. However, different factors could make conventional sprayers a better choice.

This paper presents a methodology for manufacturing nanocomposites from an epoxy resin reinforced with graphene oxide (GO) nanoparticles. A scalable and sustainable fabrication process, based on a solvent-free method, is proposed with the objective of achieving a high level of GO dispersion, while maintaining matrix performance. The results of three-point bending tests are examined by means of an analytical technique which allows determining the mechanical response of the material under tension and compression from flexural data. As result, an increase of 39% in the compressive elastic modulus of the nanocomposite is found with the addition of 0.3 wt % GO. In parallel, we described how the strain distribution and the failure modes vary with the amount of reinforcement based on digital image correlation (DIC) techniques and scanning electron microscopy (SEM). A novel analytical model, capable of predicting the influence of GO content on the elastic properties of the material, is obtained. Numerical simulations considering the experimental conditions are carried out. the full strain field given by the DIC system is successfully reproduced by means of the finite element method (FEM). While, the experimental failure is explained by the crack growth simulations using the eXtended finite element method (XFEM).

The use of biodegradable (BD) plastic mulch materials as alternatives to the widely used low-density polyethylene (PE) is increasing nowadays, mainly for environmental reasons. However, the success of these materials depends, in addition to fulfilling their function, on completely degrading in the short term, which depends on both their composition and environmental conditions. This study focused on the degradation pattern of five BD plastic materials of different composition (i.e., corn and potato starch, and polylactic acid plastic (PLA) films, blended with different copolyesters during their manufacture), in two soils with different granulometry (Soil 1 has less clay content than Soil 2), taken from organic vegetable fields under controlled laboratory conditions. Conventional PE was used as a reference. The degree of degradation was evaluated through the number of fragments, weight loss, and surface area loss until their total disappearance. The degradation trend of the BD materials was similar in both soils, although much faster in Soil 2. Their total visible disappearance was in the following ranges: potato starch, 225–250 days in Soil 1, 150–200 days in Soil 2; corn starch, 550 days in Soil 1, 300 days in Soil 2; PLA, 1000–1050 days in Soil 1, 350–475 days in Soil 2. PE remained practically intact in both trials. The degradation model of potato starch materials fitted a decreasing exponential model in both soils, while the other bioplastics followed a decreasing Gompertz model, in all cases with steeper slopes in Soil 2. The curves of the degradation models indicated how the same material can degrade differently depending on the type of soil, information that could be useful for users and manufacturers in the framework of a sustainable agriculture.

Information about the paper titled "TRAINING IN AGRICULTURAL TECHNOLOGIES: FIELD MONITORING AS A TEACHING" at IATED Digital Library