Artificial Intelligence & Machine Learning based Insect & Pest Identification

In the Crop Doctor 2.0 mobile application, we have developed a cutting-edge service called "Artificial Intelligence and Machine Learning based Insect and Pest Identification." This feature harnesses the power of advanced technologies to accurately identify and classify insects and pests that affect crops.
Using state-of-the-art algorithms and machine learning models, the app analyzes images of pests submitted by farmers. The AI-based system compares these images with a vast database of known pests, considering various factors such as size, shape, color, and patterns. Through this analysis, the app swiftly identifies the specific pest species present in the crops.The machine learning component of the service continuously learns and improves over time.
The benefits of this service are manifold. Farmers can swiftly identify the pests infesting their crops without the need for extensive manual research or expert intervention. This saves valuable time and resources, allowing for immediate action to be taken to control the pests and minimize crop damage.

Salient Features

• Timely recommendations for pest control measures based on the identified species.
• Continuous learning and improvement of the identification system through machine learning algorithms.
• Coverage of a wide range of pests and insects impacting more than 35 major crops.
• Integration with other services for holistic crop management.