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The application of remote sensing in agriculture can help the evolution of agricultural practices face different types of challenges by providing information related to crop conditions of different sizes throughout the season.

Over the years, agriculture has had to meet a variety of needs, so there is a greater need for innovative solutions. In terms of remote sensing technology, it has been used early in the agricultural sector since the 1950s. However, it was not until recently that satellite sensor technology emerged.

Nowadays, agriculture is one of the biggest consumers of satellite remote sensors. Crop growth is monitored through the use of advanced satellite images provided by satellite remote sensors. Unlike drone images, satellite technology may have problems that are invisible or inaccessible to the human eye. This can be used as an early warning mechanism to save crops by eliminating the risks and time-consuming practices involved in maintaining crops.

Remote sensing satellite can quickly and accurately obtain ground information, combined with other modern high and new technologies such as Geographic Information system (GIS) and Global Positioning system (GPS), it can realize the timing, quantification and positioning of agricultural information collection and analysis, with strong objectivity, without human interference, facilitate agricultural decision-making, and make it possible to develop precision agriculture.

Using satellite photos taken, experts compare images and can quickly notice changes. Those who implement other industrial 4. 0 technologies, such as forecasting and AI-based analysis, can get advice and valuable insights on how to avoid any risks.

The whole process of injecting remote sensing technology into agriculture is called precision agriculture. In this way, farmers can adopt feasible methods of fertilization, plant protection, quantitative irrigation and more agricultural activities. This also enables agriculture to save resources and overall costs.

01. How does it work using satellite remote sensing technology?

Although many satellites and remote sensors are orbiting the earth, each satellite and remote sensor is used for different purposes and covers different areas. When it comes to agriculture on large tracts of land, satellite remote sensors use an image to help monitor them, regardless of their size. Or you can take a snapshot of the concentrated part of the crop. Therefore, sensor technology can also provide soil moisture map.

Because the orbit speed is very slow, the satellite sensor can cover the whole circle of the earth. All of this data is processed into a "crop monitoring platform" where users can evaluate crops and see changes in minutes.

Remote sensing and agriculture complement each other. This technology works on almost the same basic principles as drones, satellites and other platforms. Energy travels from the sun to the earth in the form of light. Light waves travel almost like ocean waves-the distance between the peak of one wave and the peak of the next is called wavelength. The energy emitted by the sun is called electromagnetic energy, which is part of the electromagnetic spectrum. The wavelengths used in agricultural applications cover a small amount of electromagnetic spectrum.

When this electromagnetic energy hits a plant, it can be absorbed, reflected or transmitted, depending on the wavelength of the energy and the type of plant. Where green crops can be seen by the human eye, this means that energy has rebounded. This is because the chlorophyll of the plant absorbs most of the energy and reflects green. The rest of the energy is transmitted through the leaves and immersed in the ground.

Remote sensing works in agriculture by monitoring the reflected, absorbed and transmitted energy, and sensors identify "spectral" features, which help to determine the unique characteristics of some plant species. The technology can classify these functions according to healthy and unhealthy plants, warning farmers if there is something wrong with their crops.

02. How can satellite images help solve agricultural problems? Although the satellite remote sensor only took a snapshot of a crop, it is not any conventional type of picture.

Using extremely advanced cameras that provide high-resolution images, farmers can detect serious crop problems even before they become irreversible. Here are several ways sensor technology can help the agricultural sector:

Identifying nutrition deficiency, weed infestation, disease and damage monitoring crop color is one of the key methods to understand plant health status. The color of the plant allows farmers to assess the level of chlorophyll it accepts, indicating the extent to which nutrients are absorbed. The satellite deploys infrared and shortwave sensors that depict damage inside the leaves if the light changes the color of the platform.

Normalized difference vegetation index (NDVI) is a standard model for understanding healthy and unhealthy color vision. Damage can be detected even at the initial stage, giving farmers time to ensure that it does not spread to other crops and to try to correct the damage that has been suffered by any plant.

In addition, satellite remote sensing technology can easily detect any pollution or insect attack. In areas with a large number of crops, it is easy for farmers to accurately notice the sources of pollution and quickly stop them from spreading.

Monitoring water conditions farmers use satellite remote sensing technology to record the status of salt in the soil and its health. When there is a large amount of salt, the technique will highlight the part in a brighter color. This shows farmers that the soil needs more water and needs to be treated. By contrast, thermal sensors can detect places where water is scarce. This is done by monitoring the heat, which changes to a lighter hue.

Irrigated land is expected to double by 2050 due to population growth and food demand. It will reduce water supplies, lead to climate change, and lead to other environmental changes. Monitoring and assessment of agricultural water resources are therefore essential for achieving sustainable food security and development. Precision agriculture remote sensing has successfully provided accurate and timely information on water bodies, irrigated farmland, crop and soil moisture conditions, as well as various scales.

Observe soil conditions

Using remote sensing | observed cultivated soil is very important for precision agriculture and soil monitoring. Some key soil parameters for optimizing crop management include soil organic matter (SOM), soil texture, soil pH value, water content and so on. Agricultural remote sensing technology will also provide canopy health, growth stage, yield, biomass and nutrient density. If we want to study the changes of crop growth patterns, we need to emphasize the relationship between crop performance and soil conditions.

A well-known advantage of disaster management satellite remote sensors is that they can help predict weather conditions. Combining this technology with ground sensors could be a huge asset for farmers. These data are combined to provide accurate information about the loss assessment. For example, areas with poor drainage frameworks are at risk during the monsoon or when there is too much rainfall at any time. This, in turn, affects harvests and yields. Access to this information can help agricultural actors plan for future damage control and reduce collateral damage. It can also predict other natural disasters, providing time to save as many crops as possible.

Used in precision agriculture to introduce new farming techniques over the past few decades to help agriculture keep pace with the growing food demand of the population. Precision agriculture and crop mapping using remote sensing are designed to increase crop yields and minimize pressure on the natural environment. Modern technologies such as artificial intelligence or the Internet of things have proved useful in this regard. The application of remote sensing in agriculture is also used to improve crop productivity.

Monitoring and forecasting the concept of remote sensing of climate change and its application in agriculture have made much progress in understanding climate change by quantifying the temporal state of the ocean, land and atmosphere. Although technology can detect weather and climate change, it is not as accurate as this. In agriculture and agriculture, the weather plays an important role and will determine the yield. As a result, this technology has proved to be a valuable tool for accurate prediction of climate change.

This article comes from the official account of Wechat: new Research (ID:chuxinyanjiu), author: Tang Shi

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