In this talk, we will discuss a methodological proposal for addressing education for sustainable development using creative pedagogies. The primary purpose is to establish a technique that uses art as a connection between learning and creativity, so allowing students to acquire skills connected to sustainability in a variety of scientific subjects. Students engage in experiential learning and their ability to think critically when given the opportunity to interact with works of art. The presentation emphasizes that education for sustainability is not restricted to instruction in ecology alone; rather, it also encompasses a vision of the future and a shift in the way that researching and modeling the future is done. The methodological proposal is broken down into various steps, the first of which is the diagnosis of the problem. Students are encouraged to select a contemporary artistic ex...

The article explores the use of convolutional neural networks, specifically ResNet-50, to detect weevils in corn kernels. Weevils are a major pest of stored maize and can cause significant yield and quality losses. The study found that the ResNet-50 model was able to distinguish with high precision between weevil-infested corn kernels and healthy kernels, achieving values ​​of 0.9464 for precision, 0.9310 for sensitivity, 0.9630 for specificity, 0.9469 for quality index, 0.9470 for the area under the curve (AUC) and 0.9474 for the F-score. The model was able to recognize nine out of ten weevil-free corn kernels using a minimal number of training samples. These results demonstrate the efficiency of the model in the accurate detection of weevil infestation in maize grains. The model's ability to accurately identify weevil-affected grains is critical to taking rapid action to control th...