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02 - EQUIPAMENTOS, SENSORES, ATUADORES E CONTROLADORES NO SISTEMA DE IRRIGAÇÃO AUTOMATIZADO

Doi: 10.47094/978-65-284-0682-1/23-28

PALAVRAS CHAVE: Inteligência artificial - Aplicações médicas. Redes neurais (Ciência da computação) - Aplicações médicas. Sistemas de detecção de objetos (YOLO).

KEYWORDS: Artificial intelligence - Medical applications. Neural networks (Computer science) - Medical applications. Object detection systems (YOLO).

ABSTRACT:
1. INTRODUCTION TO HARDWARE AND INSTRUMENTATION IN IoT IRRIGATION

Automating irrigation management requires a physical infrastructure composed of electronic, hydraulic, and mechanical equipment capable of interacting directly with the agricultural environment. While network protocols and backend software manage the logical flow of information, and interface screens provide the operator with control, it is the sensors, controllers, and actuators that translate virtual instructions into physical actions in the field.
In the hypothetical automated irrigation system presented in Chapter 1, physical instrumentation plays a central role at every stage of the control cycle. An intelligent irrigation system operates in a continuous cycle of perception, processing, and action. During the perception stage, capacitive sensors measure physical soil variables and moisture levels in the experimental plots. In the processing stage, microprocessor-based controllers analyze these measurements, synchronize the data with a central server via HTTP requests, and determine when to open the valves. Finally, in the action stage, electrical and hydraulic actuators trigger power relays, operate the main 5.5 HP motor-pump, and activate the solenoid valves for the various agricultural sectors (melon, tomato, bell pepper, and Greenhouse 01).
This chapter details the primary embedded hardware platforms, soil-related environmental sensors, electrical and hydraulic actuators, visual inspection cameras, and laboratory experimental setups used in the design and construction of the IoT-based automated irrigation system.

Autores

  • Adriano Soares de Oliveira Bailão

  • Alexandre Garcia Rezende

  • Daniel Xavier Vieira

  • Juliana Fortunato

  • Laenor Henrique Tenório Dantas Brandão

  • Laila Teixeira de Souza

  • Leandro Manuel Pereira Sanches

  • Leonardo Nazário Silva dos Santos

  • Marconi Batista Teixeira

  • Samira Alice de Oliveira

  • Sergio Souza Novak

  • Thiago Gratz Spinassé

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