In an effort to strengthen homegrown wheat production and reduce dependence on imports, the Azerbaijani government took on a pressing agricultural issue. Despite sizeable investments, the country continued to rely heavily on imported wheat, a situation they aimed to change.
The challenge was distinguishing between wheat, barley, and other crops across diverse agricultural landscapes. To tackle this, a creative approach was developed.
Enter an innovative technique, one that leveraged satellite imagery to monitor crop behavior throughout the growing season. The project began with local field surveys and collaboration to identify wheat and barley amidst the fields.
With dedication and advanced technology, complex algorithms and image processing were used to separate wheat from barley, a task previously considered too difficult. Local farmers played a vital role in training the technology to recognize these subtle differences.
The result? A detailed mapping exercise that provided insights into Azerbaijan’s wheat and barley crops, including where they thrived and areas where other crops outperformed due to challenging growth conditions.
These insights shed light on the need for more precise and efficient agricultural practices to boost wheat yields, ensuring Azerbaijan’s self-sufficiency.
The success of this project sets the stage for a more prosperous, self-reliant future. With these new insights in hand, we’re ready to propose actions to enhance wheat production in the upcoming season.
Beyond borders, we’re committed to sharing the knowledge and tools we’ve developed with other nations and organizations facing similar agricultural challenges. Together, we can usher in a new era of agricultural success, making the most of every field and crop potential.
