Internet of Things intelligent agricultural irrigation device and method based on deep learning

Abstract

The invention belongs to the technical field of agriculture, and particularly relates to an Internet of Things intelligent agricultural irrigation device and method based on deep learning. The devicecomprises a central processing device, a soil humidity sensor, a spray irrigation device, an image collection device, a meteorological collection sensor, a first data collection module, a second datacollection module, a third data collection module, an SVM classification module, a pre-processing module and a neural network module based on deep learning. Soil information, environment information and crop information are collected through an Internet of Things device, crops are recognized by adopting a deep learning method to judge crop category, growth stage, whether there is a sign of water deficiency or not and water deficiency degree, corresponding irrigation strategies are adopted according to moisture needs of each crop at different growth stages, and proper irrigation modes are selected for different crops, in this way, crop growth can be better promoted, and scientific irrigation is realized.

Description

technical field [0001] The invention belongs to the field of agricultural technology, and specifically relates to an intelligent agricultural irrigation device and method based on deep learning of the Internet of Things. Background technique [0002] The Internet of Things is an important part of the new generation of information technology, and it is also an important stage of development in the "informationization" era. As the name suggests, the Internet of Things is the Internet of things connected. This has two meanings: first, the core and foundation of the Internet of Things is still the Internet, which is an extended and expanded network based on the Internet; Exchange and communication, that is, things are closely related. The Internet of Things is widely used in the integration of networks through communication perception technologies such as intelligent perception, identification technology and pervasive computing. Therefore, it is called the third wave of the de...

AI Technical Summary

Problems solved by technology

my country is a country with a large population, insufficient arable land, and low per capita grain output. The agricultural management methods have not yet completely got rid of the traditional manual labor methods. Unfavorable factors have seriously restricted the development of agriculture. If we want to make my country's agriculture develop greatly on the existing basis, we must rely on scientific and technological progress, we must increase the scientific and technological content of agriculture, and use high-tech to completely transform traditional agriculture.

Today, with the rapid development of intelligence, precision agriculture has become the new trend of agricultural development in the new century, and agricultural intelligence has also become a very important topic today. How to irrigate farmland in a timely and accurate manner is a key issue currently facing. Some technologies collect soil moisture information by setting sensors in the farmland, and control the irrigation device for irrigation through the soil moisture information fed back by the sensor. However, the farmland is sometimes divided into different areas, and the crops planted in each area are not the same. Different crops have different requirements for soil moisture. Under the same soil moisture conditions, one crop may need to be irrigated, but another crop may not. Therefore, there is a need for an intelligent agricultural irrigation device and method based on deep learning to solve the above problems

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