Smart Agriculture
We have developed two separate projects with the help of professors who are experts in their fields in order to further our country's success in agriculture. We achieved predictability in agriculture, one of our biggest goals. Thus, we have provided more efficiency and low disease in our products and high profitability for our customers.
Thanks to the constantly developing technology, the use of technological equipment has become widespread in many sectors with the “smart” label. Thanks to “smart” systems, it is possible to increase productivity, save time and reduce costs. The Intelligent Garden Management System developed for the solution of important problems encountered in large-scale production areas, healthier functioning of the organizational structure and decision support solutions offered to the producers, contains the application features for the below mentioned applications and solutions for the problems that can cause big problems when timely measures are not taken. it is equipped.
Common Problems in Garden Management
The planted / displaced trees do not have a certain identity in the breeding activities carried out in large areas and therefore confusion during the operations.
During the consultancy services, field staff make wrong directions about the tree or region.
Failure to follow tree-based productivity and development efficiently
Problems encountered due to the preparation of the production model with more experience and forecasting models and the total product prediction with personal expertise / competence.
Prevention of preventable diseases and problems in a timely manner and determination of cost items such as irrigation / fertilization on human-based estimation.
During the replacement of trees that have lost their qualities due to disease or various external factors, it causes a decrease in productivity due to the unknown role (Pollinator) determined for the garden.
In addition to the problems mentioned in general, the production site needs to be subjected to time-based analysis, measurement and various tests, and documentation of these processes becomes difficult in direct proportion to the size of the garden. At this point, Smart Garden Management System offers smart solutions to these problems.
These solutions are as follows;
- Island / Parcel Modeling
- Tree Tracking System
- Consultant-Manufacturer-Controller Decision Support System
- Mapping System
- Reporting System
- Artificial Intelligence Supported Field-Region Workstation
- Mobile Data Collection Station
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Terrain Data Collection Sensors
- Unit Rainfall Measurement Station
- Unit UV Measurement Station
- Periodic Climate Conditions Measurement Station (Humidity-Pressure-Air Temperature)
- Soil Analysis Measurement Station
- Tree Data Collection Sensors
- Leaf Development Measurement Station (Chlorophyll Measurement-Leaf Area Measurement-Leaf Temperature Measurement)
- Tree Trunk Ultrasound Monitoring Station
- SAP FLOW Water Detection Unit
- Body Diameter Change / Growth Sensing Unit
- Flowering-Foliation Start / Summit / End Detection Unit
- General Disease Detection Unit
One of the most difficult aspects of agriculture is that it is difficult to obtain objective, comparable, meaningful data and turn this data into ready-to-use information. The fact that a large number of factors originating from economy and climate affect agricultural production is one of the main reasons of this difficulty. Climate and change, soil structure, farmer practices, plant nutrition preferences, plant protection choices, seeds used, etc. While trying to measure important factors is very expensive with current practices, it is also difficult to make sense of. This situation causes foresight, sustainability and planning problems in agriculture.
It can be said that the use of scalable and country-wide data systems such as satellite images and soil maps is much more successful than the alternatives in following the agricultural fields throughout the year. On the other hand, analyzing the images using artificial intelligence and making sense of this big data creates an important agricultural information potential. Leverage has created using satellite imagery and earth maps ; It has a web platform service that monitors the satellite images throughout the season, identifies the cultivated agricultural areas at the beginning of the season, classifies the agricultural products in the season, acquires information such as cultivated area, damage, harvest and harvest and presents these outputs.
What Can We Do For You?
Product Classification and Cultivated Area Detection
We perceive the cultivated areas during the season with the help of satellite images and artificial intelligence and we categorize the field, crop, crop
Product Development Tracking
Images of the development of field crops Follows the satellite weekly with; plant, region-specific for the field We give the most sensitive results with the indicators.
Harvest Forecasts and Harvest Detection
We follow the harvest status day by day, we can easily foresee the purchase position by predicting the price easily.
Yield Forecasting
We determine the yield of field crops from the parcel scale to the country scale with high precision in the season, thus we ensure that you make your strategic decisions.
