esular | Kablosuz Akıllı Otomatik Sulama Sistemi
Kablosuz otomatik sulama çözümleri ile sulama sistemlerinizi akıllı hale getiriyoruz
Digital agriculture is the set of tools that digitally collects, stores, analyzes and transfers electronic data or information along the agricultural value chain to the end user. Data is sometimes collected with sensors and sometimes with new generation technologies such as satellites and drones. The collected data is interpreted by various algorithms and transferred to farmers via GSM, Wifi and Ethernet and remotely controlled IoT mobile applications. Farmers use this information to both increase their productivity and reduce input costs.
According to UN calculations, there will be 9.7 billion people in the world by 2050, that is, approximately 2 billion more people compared to 2022. According to FAO, the UN food and agriculture agency, a 70 percent increase in agricultural production is required to meet this increase. This is not the only difficulty. Climate change is an increasing threat to agriculture as we see more erratic weather-related precipitation patterns and more frequent floods and droughts. Additionally, our current methods of food production contribute to a quarter of global greenhouse gas emissions, making climate change worse.
Agriculture also has a significant impact on the environment, as it consumes large amounts of valuable natural resources such as fresh water, which is rapidly depleting. Also, we cannot expand cultivated land to increase food production without causing further deforestation.
For our future generations, agriculture, our valuable resources, and food security are becoming more environmentally, economically and socially sustainable through the application of technology, digital and innovation.
With the use of IoT technologies in agriculture, important data can be collected on weather conditions, soil moisture content, soil quality, crop growth rate.
The use of digital agricultural technologies allows possible problems to be prevented in advance. After making sense of the collected data in artificial intelligence-based systems, it is ensured that the crops are minimally affected by possible risks.
With the use of smart devices, many processes such as irrigation and fertilization in the production cycle are automated.
Optimization of all agricultural processes increases production rates.
Weather forecasts and sensors that measure soil moisture mean watering only when needed and for the right amount of time.
Analysis of the quality of the product obtained in relation to the strategies applied enables adjustments to improve the quality of subsequent production.
Irrigation, fertilization, electricity, labor etc. in agriculture. reduces costs.
To save resources such as irrigation water and to provide maximum benefit from the land. It reduces the negative impact on the environment.
We provide up to 30% less irrigation with soil moisture measurement in summer months when water consumption is high, and up to 50% less in winter months.
WhatsApp Destek Hattı