New Technologies In Agriculture: Applications

New Technologies In Agriculture: Applications

 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 have to be an expert to see how technology has changed the way we think about farming, making it more profitable, efficient, safer, and easier.

The five best modern information technologies in agriculture, recognized by farmers:

• GIS technologies in agriculture and GPS agriculture

• satellite imagery

• Drone and other aerial photographs

• Information technology in agriculture and online data

• Combining Datasets

As a result, modern farms are benefiting greatly from digital farming technologies 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, improved efficiency, reduced costs, and more. Thus, the business becomes profitable, smart, and sustainable.

GIS Technologies In Agriculture

Because fields are location-dependent, GIS technology becomes an incredibly useful tool in terms of precision agriculture. Using geo-information technologies in agriculture, farmers can display current and future changes in precipitation, temperature, yields, plant health, etc. It also allows the use of GPS-based applications along with smart technologies to optimize the application of fertilizers and pesticides; given that farmers do not need to cultivate the entire field, but only in certain areas, they can achieve savings in money, effort, and time.

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

Satellite Data

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

The sensors can provide images in a variety of spectra, allowing multiple spectral indices to be applied, such as the Normalized Vegetation Difference Index (NDVI). NDVI allows you to determine the composition of the vegetation, the number of withered plants, and the general condition of the plants. Next comes the Plant Chlorophyll Content Index (CCCI), which helps with nutrient input. The Normalized Differential Red Edge Index (NDRE) then determines the nitrogen content. Finally, the Soil-Adjusted Modified Vegetation Index (MSAVI) is designed to minimize the effects of background soil in the earliest stages of plant development; the list goes on.

Drones: Technology Data From the Sky

With the help of unmanned technologies in agriculture (drones), farmers have the ability to determine crop biomass, plant height, weeds, and water saturation in certain areas of the field with high accuracy. They provide better and more accurate data with higher resolution than satellites. When they are on the ground, they provide valuable information even faster than scouts. Drones are also considered unsurpassed assistants in the fight against insects; Insect infestation is prevented by applying insecticide to dangerous areas using unmanned technology (drones) while reducing the likelihood of direct exposure leading to chemical poisoning.

Although drones are easy to use and capable of collecting large amounts of data in a short time, there are still challenges in their continued use as the technology is not cheap. Drones are almost helpless where mapping or monitoring of large areas is required, and it is better to complement 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 EOS Crop Monitoring, a digital platform that uses satellite monitoring to speed up farmer decision-making so that he does not miss an important moment in the field.

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

• Another important feature of modern information technology in agriculture EOS 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 with a few clicks. Add a field, put a pin, set a task.etc., immediately make 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 according to satellite imagery plant health data, farmers can apply irrigation accurately 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 the farmer can supply the required amount of water to dry areas.

• The strongest advantage of EOS Crop Monitoring is that it is based on satellite imagery. It helps you analyze field conditions or the condition of specific areas of agriculture and quickly extract valuable information, thereby speeding up optimal reaction time, as well as making reliable decisions - what crops to plant, when to harvest, how to effectively plan for the next season, how much nutrients and apply fertilizer, and much more.

Data Consolidation

Sometimes you have to mix different datasets in the EOS Crop Monitoring platform in order to get valuable information about your fields. For starters, the user can compare the performance of their field with the average performance of all fields in the area. To deal with this problem, technology is used to compare multiple sets of data from all fields in your area. So far, such comparisons are available only using the NDVI vegetation index, but in the near future, we will expand the analytical capabilities of the Platform by adding new indices.

The next important function of modern information technology in agriculture, which uses numerous data sets, is the analysis of weather data. It consists of the following options:

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• Plant Freeze informs you about low temperatures that threaten your winter crops.

• Frost Threat highlights days when temperatures dropped below -6℃ to assess frost damage to early crops.

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

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

Results of Precision Agriculture

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