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Tiraya Technology aim to improve existing technologies, processes, designs and marketing to solve problems, increase efficiency, reach new customers, and ultimately increase profits. We also believe that Innovation and Business Development are the balancing keys of business success

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Agriculture Applications

The farming management approach using the precision agriculture method is based on real-time observation, measurement, and action based on the data of crops and livestock.

Precision Agriculture is an effort of using new technology to boost crop yields and agricultural profits while reducing the needs of traditional inputs to grow crops (soil, water, fertilizer, herbicides, and insecticides). In other words, farmers who use Precision Agriculture utilize fewer resources for more yields.

It removes assumption-based working habits in the agriculture industry and gives farmers the ability to maximize their yields as well as to carry out more efficient agricultural management while increasing production. The increasing number in population and the change of climate leads to more needs of the importance of efficient agriculture.

There are several uses of drone technology for agriculture, including:

  • To observe the condition of the soil and plants.
  • To check weeds and care of plants.
  • To monitor the overall plant health.
  • To water plants more efficiently.
  • To spread fertilizer, pesticides, herbicides.
  • Optimize agriculture operations
  • Increase crop production
  • Monitor crop growth
  • Sensors and digital imaging capabilities can give farmers a richer picture of their fields.
  • Using an agriculture drone and gathering information from it may prove useful in improving crop yields and farm efficiency.

The agricultural drone is equipped with technologies such as propulsion systems, GPS and sophisticated navigation systems, programmable controllers, and automatic flight planning. A special data processing system is also employed so that the collected information can be directly used for better management decision making.