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We know that the general development trend of the forests in forest areas, the analysis of the enclosed areas creates great difficulties. For this, with our drones equipped with Lidar and Multispectral sensors, with our high-performance mobile and web applications We are always at your side with our specially prepared Machine Learning algorithms
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We know that the general development trend of crops in crop fields, as well as the general analysis of the soil surface and the analysis of soil moisture create difficulties for farmers. For this, we are at your side with our mobile and web applications, processing the information obtained together with drones equipped with Lidar and Multispectral sensors, high-sensitivity sensors and satellite (Sentinel-2) images.
Our first goal is to become a friend of the farmer with our technology and services!
As a company, we regularly fly multispectral and lidar sensor drones in crop fields and forest areas and collect the data obtained in our data center.
With our specially prepared Machine learning algorithms on the acquired database
*In which areas the development of plants is less than the norm or is underdeveloped
* In which areas it is normal
*Anomalies of the soil surface
*Recruitment of areas already circled (in areas of land).
*You will be able to follow analytical reports of past data and current data in a certain time frame with instant notifications through our mobile device and web project.
* You will no longer need dozens of manpower, energy loss, time loss, additional equipment and large financial costs.
*You will decide together with us which areas will be affected or not
It is a long established fact that a reader will be distracted by the readable
With drones equipped with multispectral camera sensors, get an opportunity to detect plant diseases and stresses at an early stage
1. Assess farm health using vegetation index and water index based on satellite imagery
2. Get recommendations on how many sensors to use and where to place them
3. Get soil moisture maps based on the fusion of satellite( Sentinel-2) and sensor data
4.Relieve watering problems with thermal cameras and drones that can shoot remotely
1.Ability to analyze basic soil health in real time with DJI Phantom 4 Pro, Marlyn, Xmission drones and Precision Agriculture
2.Gain actionable insights by building AI or ML models on top of fused datasets
Purpose of developing "Yem Kalkulyatoru" mobile application to support farmers in the field of animal husbandry, to achieve full productivity, economic efficiency is to contribute to the protection of food security.
( +994 70 827 82 62 )
natigsqlserver@gmail.com
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