With the introduction of artificial intelligence technologies, farmers can improve the efficiency of their operations. As a result, they can increase the quality and quantity of their harvests while minimizing the environmental impact.
In Uganda, for example, the emergence of a crop-destroying caterpillar that threatened cornfields was conquered by a machine learning-based application called Farmers Companion App. A handful of talented local developers were behind this project. Firstly, they collected images from nearby fields with their smartphones. They then sorted and categorized them to train and improve the accuracy of the AI model. This free app detects the presence of the crop pest and also its lifecycle stage. Additionally, the app recommends specific pesticide treatments that stop the worm from spreading any further.
AI technologies also help farmers target chemical use and choose the optimal conditions for crop growth. Early detection of nutrient deficiencies narrows down the affected areas, avoiding misuse of fertilizer that can adversely affect plant growth.
Read more about circular economy in Japan
- 2024-11-12: Fukuoka students launch project to circulate used clothing locally
- 2024-11-11: Solar waste to construction material with Circular Pave Solar
- 2024-11-08: New funding to drive ESA Method and Circular Economy for plastics
- 2024-11-01: JEPLAN attains license for chemical recycling to tackle plastic waste globally
- 2024-10-21: Tokyo announces second round of grants for digital waste solutions