New Technologies in Agriculture Application Areas

 New Technologies in Agriculture

New Technologies in Agriculture

In recent years, the introduction of innovative technologies in agriculture has led to adjustments in the way farmers cultivate crops and cultivate fields. You don't need to be an expert to see how technology has changed the way agriculture is more profitable, efficient, safe and simpler. Five of the best modern information technologies in agriculture, recognized by farmers:

GIS technologies in agriculture and GPS agriculture

Satellite imagery

Drone and other aerial imagery

Agricultural Information Technology and Online Data

Combining datasets

As a result, modern farms are reaping significant benefits from digital technologies in agriculture that are constantly evolving. These benefits include reduced consumption of water, nutrients and fertilizers, reducing negative impacts on the surrounding ecosystem, reduced chemical runoff to local groundwater and rivers, increased efficiency, lower prices, and more. In this way, the business becomes profitable, smart and sustainable. Let's discuss some of these innovative technologies in agriculture.

GIS Technologies in Agriculture:

New Technologies in Agriculture

Because fields depend on location, GIS technology is becoming an incredibly useful tool for precision farming. Using geographic information technology in agriculture, farmers can display current and future changes in rainfall, temperature, yield, plant health, and more. It also allows GPS-based applications to be used together with smart technologies to optimize fertilizer and pesticide application; Considering that farmers do not have to cultivate the entire field, but only cultivate certain areas, they can achieve savings in money, effort and time.

Another great advantage of GIS technologies used in agriculture is the use of satellites and drones to collect valuable data on vegetation, soil conditions, weather and terrain from a bird's eye view. Such data greatly improves the accuracy of decision making.

Satellite Data:

New Technologies in Agriculture

Yield forecasting and near-real-time satellite monitoring of fields to detect a variety of threats using satellite data have never been easier than innovating in agriculture.

The sensors can provide images in different spectra, allowing multiple spectral indices such as the Normalized Vegetation Difference Index to be applied. The NVDI allows you to determine the composition of vegetation, the number of wilted plants and the general condition of the plants. Next is the Plant Chlorophyll Index . which helps with nutrient input. The Normalized Difference Red Edge Index (NDRE) then determines the nitrogen content. Finally, the Modified Soil Adjusted Vegetation Index (MSAVI) is designed to minimize the impact of soil background in the earliest stages of plant development; the list continues.

Drones: Sky Data Technology:

With the help of unmanned technologies in agriculture (drones), farmers can accurately determine the biomass of crops, plant height, the presence of weeds and water saturation in certain areas of the field. They provide better, more accurate data with higher resolution than satellites. When they are in the field, they provide valuable information even faster than scouts. Drones are also considered to be unrivalled insect controllers; insect infestations are prevented by applying insecticide to hazardous areas using unmanned technology (drones), thereby reducing the likelihood of direct exposure leading to chemical poisoning.

While drones are easy to use and capable of collecting large amounts of data in a short timeframe, they continue to pose challenges with constant use because the technology is not cheap. Drones are almost helpless where mapping or monitoring of large areas is required, and it is best to supplement this technology with satellite monitoring of already mapped areas where specific areas need to be rechecked.

Online Data: The Key To Precision Agriculture:

To make it easier to monitor agricultural fields, EOS has developed Crop Monitoring, a digital platform that uses satellite monitoring to accelerate farmer decision-making so that he does not miss an important cultivation moment. Here are some of the features available on the platform:

Crop Monitoring allows you to use the Normalized Vegetation Index (NDVI) to track the health of crops in agriculture. This index tracks the amount of chlorophyll in plants, which provides information about their condition. If you have higher NDVI values, you have healthier vegetation, as the more chlorophyll a plant has available, the healthier it is.

Another important feature of modern information technology in agriculture Crop Monitoring is the Scouting application. It is a mobile and desktop application that uses digital field maps. Using this application in agriculture, the farmer can assign multiple tasks to scouts in a few clicks. Add a field, put a pin, set a task. Once the task is assigned, the scout moves directly to the selected location and checks for problem areas on the site, checks for pest activity, perform weed control actions, etc., immediately making notes in the application. This allows you to inspect problem areas only when necessary, thereby saving time to take the necessary preventive measures.

Weather analytics as information technology in agriculture. By analyzing weather data in line with plant health data from satellite imagery, farmers can accurately irrigate and prevent frost or heat damage. For example, one of the best ways to avoid drought problems is drip irrigation technology with automatic or manual valve control so that the farmer can supply the required amount of water to arid areas.

The strongest advantage of Crop Monitoring is that it is based on satellite imagery. It helps you analyze field conditions or the state of specific areas of agriculture and quickly extract valuable information, thereby accelerating the optimal response time, as well as making reliable decisions - which crops to plant, when to harvest, how to effectively plan for the next season, how much nutrient and fertilization, and much more.

Data Consolidation:

Sometimes, in the Crop Monitoring platform, you have to mix and match different datasets to gain valuable insight into your fields. To begin with, the user can compare the performance of their field with the average performance of all fields in a given area. To cope with this problem, technology is used to compare multiple datasets from all fields in your area. So far, such comparisons are only available using the NDVI vegetation index, but shortly, we will expand the analytical capabilities of the Platform by adding new indices.

The next important function of modern information technology in agriculture, using multiple datasets, is the analysis of weather data. It consists of the following options:

" Freezing plants" informs you of the low temperatures that threaten your winter crops.

Frost Threats highlighted days when temperatures dropped below -6 ℃ to assess frost damage to early crops.

Drought Threat reflects days with temperatures above + 30 ℃ to assess heat stress damage.

This new technology feature in agriculture also makes it possible to control rainfall and temperature.

Precision Farming Results

Promising high technologies in agriculture are moving into the future with leaps and bounds. They offer significant assistance to farmers in their efforts to optimize costs, simplify agricultural management and increase productivity. Higher yields, as well as lower maintenance costs, help increase profitability. In the context of smart solutions, innovative technologies in agriculture are offered by the Swiss army knife of agricultural precision farming technologies for both todays and future farmers.