Landslides, triggered by heavy rains, constitute globally impactful natural disasters that wreak havoc on both people and infrastructure. It is crucial to develop predictive systems and efficient alerts, incorporating technologies such as the Internet of Things (IoT) to gather environmental data and prevent significant losses. Therefore, the aim of the study was to design and develop an early warning system for landslides using a microcontroller-based wireless sensor network. A digital rocker rain gauge and the MPU 6050, DHT22 and FC-28 sensors were employed. These sensors were distributed at nodes along the Quebrada del Diablo in the city of Tacna. The values captured at each node were processed by the DEVKIT V1 NodeMCU-32 development board, based on the ESP32 microcontroller, and transmitted to a central node through a ZigBee mesh network using Digi's XBee3 devices. The central node wa...

The purpose of the thesis was to design and implement a control system that will optimize the climatic conditions of a greenhouse. The system was based on an FPGA development platform, specifically the Nexys 4 ddr of digilent; the main focus of the thesis was the reconfigurability and flexibility of the hardware in the future. To this end the control system used was a 32-bit microprocessor microblaze which collected data measured by sensors and based on a control algorithm developed, it maintained automatically the parameters determined by the expert in agronomy. The parameters to control were: temperature, relative humidity and humidity of the soil, desirable in a tomato greenhouse in the city of Tacna. The temperature and relative humidity were maintained in a range of (24 - 26) ° C and (70 and 80) % respectively, and it was achieved that the humidity of the soil reaches half of the r...

Technological innovation in the control of myoelectric prostheses is essential for improving the functionality of people with motor disabilities. This study aimed to design and implement a non-invasive system for acquiring electromyographic (EMG) signals to classify basic upper limb movements using neural networks. The experimental methodology included hardware design, subject preparation, and EMG signal capture in three hand states (extended, relaxed, and closed). Disposable electrodes with conductive gel were placed on the forearm muscles, and a SichyRay board was used to amplify and digitize signals at 1 kHz and 10 bits. Signal processing included high-pass filters (5 Hz), low-pass filters (450 Hz), and segmentation into 200 ms windows. Google Colab, TensorFlow, and Scikit-learn were used for data analysis and classification. Three neural network models were evaluated: a feedforward n...

This pest identification project using remote sensing with an unmanned aerial vehicle will show the scope that can be achieved in the field of agriculture and that are being used. The project has as its first stage the custom conditioning of the unmanned aerial vehicle composed of a flight structure and a camera system which will allow us to acquire data, in this case aerial images. Once the air vehicle is conditioned, the flight plans for the acquisition of images are established. This stage is delimited by the olive cultivation area that we want to evaluate. Once the conditioning has been completed and after executing the flight plans, the images are processed under two algorithm models, the results of which will eventually be interpreted in search of the identification of pests in the cultivation of the olive tree.

The city of Tacna is no stranger to the exposure of pollutants such as sedimentable particles that are generated due to stable weather conditions, urban growth, increased vehicular traffic, urban expansion, unpaved streets, among other factors. . Through the present research work that was carried out in the city of Tacna, it was possible to determine the concentration of sedimentable atmospheric dust in our city, for which 08 sampling stations were established where the Passive Sampling methodology was applied, which consisted of the placement of glass plates located on the upper level of homes and / or institutions, for a period of 04 months and at that time the information was collected every 30 calendar days. For the location of the stations to be sampled, the type of road, population density and traffic were taken into account; managing to determine with it 08 sampling zones located ...

Climate change directly affects crops worldwide, posing an increasing threat to agricultural production and food security. The aim of this study was to design an Internet of Things (IoT) station to monitor microclimates and soil conditions. A system was implemented consisting of central nodes (ESP32 LILYGO T-SIM7000G with the RF module nRF24L01) and secondary nodes (NodeMCU-32, based on the ESP32 microcontroller), equipped with sensors to measure environmental and soil variables such as humidity, temperature, pressure, UV radiation, wind speed, as well as conductivity, nitrogen, phosphorus, and potassium. The devices used included a digital rain gauge MS-WH-SP-RG, a BME 280 sensor, an NPK soil sensor JXBS-3001-NPK-RS, a UV sensor CJMCU-GUVA-S12SD, an anemometer JL-FS2, and a weather vane B08N52YR8Z. The collected data was transmitted via the cloud platform ThingSpeak, and a web interface...