Support for solving labor saving in agriculture with IoT (3)

We have explained how to understand the outdoor growing environment using IoT.

Support for solving labor saving in agriculture with IoT

We have also explained how to grasp the growing environment of the field by using the soil sensor.

Support for solving labor saving in agriculture with IoT (2)

As a result, we have an environment in which we can obtain the necessary information.

Next, We will explain how to use this information.

Understanding the disease occurrence conditions of crops by sensing

This time, we will discuss how to understand the disease outbreak conditions of crops and the timing of pesticide application.

Let’s take an example of the disease outbreak conditions of agricultural products in a certain area.

Experience shows that the conditions for disease outbreaks are set as follows in this area.

• The disease is likely to occur within 7 days after 2 days or more of continuous rainfall and 20 mm or more of rainfall per hour.
• Especially when the average temperature is 20 ℃ or higher, there is a high possibility of disease occurrence.

The ability to visualize such know-how is one of the strengths of IoT.

In monitoring using IoT, the amount of rainfall can be obtained by the rainfall sensor.

The temperature sensor also shows the environmental temperature and soil temperature.

If we can interpret the obtained data and notify the people engaged in agriculture of the disease outbreak conditions, for example, by e-mail, we can automatically notify the timing of pesticide application.

The figure above is a table of disease outbreak conditions.

Looking at this figure, it can be seen that the disease occurrence conditions can be grasped by accumulating the data sensed from each sensor.

Dynamic change of sensing interval

It was found that the disease occurrence conditions can be grasped by accumulating sensing data by IoT.

The IoT system that acquires this data has an additional key point.

It is a dynamic change in the sensing interval.

By dynamically changing the sensing interval of each sensor based on the situation judgment, it will be possible to acquire more detailed and effective data.

For example, the sensing interval should be long during normal conditions, and the sensing interval should be short during caution and signs.

This makes it easier to improve the accuracy of judgment.

In addition, since it is possible to achieve the minimum necessary sensing from the viewpoint of reducing the power consumption of the sensor node, it is possible to achieve both improvement in accuracy and optimization of power consumption of sensor node.

Tele-Sentient has a function that can dynamically change the sensing interval depending on the state.

It also has an alert notification function, so you can easily realize such a system.

Toward the realization of IoT for local production for local consumption

By visualizing experience and know-how with an IoT system, we can contribute to solving labor shortages.

As an autonomous IoT system, Tele-Sentient will realize a system that monitors the conditions suitable for local fields, creates a database of rules and judgments, and makes judgments automatically.

Tele-Sentient is an autonomous IoT system that we are developing based on our abundant achievements with the aim of being truly useful to users.

If you are interested, please feel free to contact us.