Dataset from a System for Collection, Storage and Analysis of Evapotranspiration Data Using Sensors and Artificial Intelligence for Irrigation Optimization and Sustainability in Agricultural Production in Arid Areas

Background: The growing demand for technological advances aimed at more effective use of water resources is crucial to avoid shortages of drinking water and ensure the sustainability of agricultural production in arid regions. Objectives: The data are the result of research and development, the study of which proposes the development of an evapotranspiration monitoring system using sensors and artificial intelligence, with the aim of optimizing irrigation and contributing to sustainability, reducing the risk of environmental degradation. Methods: The research focused on the development of a system that would enable the collection, storage and transmission of data on evapotranspiration on rural properties. To this end, objectives were established that included the construction of a hardware infrastructure dedicated to data communication and the development of a software system equipped with the specific DATASOIS protocol. The experimental methodology used involved the use of advanced research techniques, with low-cost sensors and an innovative virtual platform. Results: Real-time analysis of water consumption allowed the creation of an accessible system that improves water management and prevents soil degradation in irrigated fruit growing areas. This solution aims to promote the sustainable and efficient management of water and soil, combating environmental degradation caused by inadequate irrigation. Financing: The project was made possible with financial support from CAPES and CNPq, contributing to more sustainable and efficient agriculture. Keywords: Evapotranspiration. Data communication. Sensors. Technology. Moisture. Subject The constant data refer to the area of: Agricultural Engineering Specific Area Agribusiness and Agricultural Engineering Data acquisition, processing and analysis system with a low-cost sensor network for the efficient use of water in agriculture. CNPq Process: 434987/2018-2 - Universal Notice Data type The data that makes up this article is made up of several files used in its development, generated with the help of the software used in the development of the work, which made it possible to generate: Tables Images Graphics Maps Figures CSV SQL