Researchers in Australia have developed advanced imaging software to efficiently detect coffee berry borer (CBB) infestations by analyzing the debris, known as frass, that the beetles leave behind. In 2023, CBB infestations caused around $1 billion in crop losses, impacting many coffee-producing regions globally. The software, operational through drones, enables farmers to quickly identify infested areas and take immediate action, thus preserving their crops. Using L-system image processing techniques, this innovation represents a significant leap in pest management within the coffee industry.
Researchers have developed a faster, efficient imaging software to detect coffee berry borer (CBB) infestations, addressing billions in crop losses due to beetle damage.
Infestations from coffee borer beetles lead to $1 billion in crop losses in 2023, especially affecting regions like South America, Indonesia, and parts of Africa.
Monitoring frass left by the CBB offers an easier identification of infestations and allows farmers to act swiftly, preventing widespread crop damage.
The new detection system utilizes L-system image processing techniques, facilitating quick response for farmers to manage potential CBB outbreaks.
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