Kenyan rose farms are increasingly turning to artificial intelligence to mitigate the impact of climate change on their crops. Through a collaboration with Lima Labs, the farms are employing drone-based Machine Vision systems to gather data and provide valuable insights, enabling smarter farming practices. This technology assists farmers in making more informed decisions about harvesting, handling pests, and managing environmental conditions, thereby reducing losses and improving efficiency.
- Climate change has led to severe weather conditions in Kenya, causing up to 50% crop losses for some rose farms.
- Lima Labs has introduced a drone-based AI system to collect images and data from rose crops, offering insights and predictions to farmers.
- The AI system provides predictions on harvest, stem density, growth rates, and potentially pest and disease detection.
- Environmental sensors track humidity, temperature, and other conditions, helping to predict weather patterns.
- AI provides detailed data such as stem and flower head counts, and the likelihood of insect infestations.
- Farmers use the technology to adjust sales and logistics plans, improving time management and reducing waste.
- Workers now rely on accurate data from drones instead of manual counting, saving time and increasing accuracy.
- The new technology has been well received on farms, becoming an integral part of their operations.
- Use of AI and drones signifies a shift from traditional methods to a more data-driven approach in agriculture.
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