PLANT DISEASE DETECTION SYSTEM

Abstract

ABSTRACT A plant disease detection system (100), comprising: a plurality of image capturing devices configured to collect real-time images of plant surfaces; an image processing module integrated with the image capturing devices, the image processing module being configured to analyze the captured images and detect potential disease symptoms; a machine learning module configured to classify plant diseases based on the processed images; a communication module configured to upload the processed data to a control unit for further analysis and decision-making; and a processor within the control unit, configured to apply machine learning algorithms to ensure accurate disease detection and classification.

Specification

Description:FIELD OF THE DISCLOSURE
[0001] This invention generally relates to a field of agricultural technology and, in particular, to a system for detecting plant diseases using image processing and machine learning techniques to enhance accuracy, efficiency, and early diagnosis in agricultural practices.
BACKGROUND

[0002] The subject matter discussed in the background section should not be assumed to be prior art merely as a result of its mention in the background section. Similarly, a problem mentioned in the background section or associated with the subject matter of the background section should not be assumed to have been previously recognized in the prior art. The subject matter in the background section merely represents different approaches, which in and of themselves may also correspond to implementations of the claimed technology.
[0003] Early and accurate detection of plant diseases is crucial for preventing the spread of harmful pathogens and ensuring healthy crop production. Traditional methods of pla , Claims:WE CLAIM:
1. A plant disease detection system (100), comprising:
a plurality of image capturing devices configured to collect real-time images of plant surfaces;
an image processing module integrated with the image capturing devices, the image processing module being configured to analyze the captured images and detect potential disease symptoms;
a machine learning module configured to classify plant diseases based on the processed images;
a communication module configured to upload the processed data to a control unit for further analysis and decision-making; and
a processor within the control unit, configured to apply machine learning algorithms to ensure accurate disease detection and classification.

2. The system (100) as claimed in claim 1, wherein the image capturing devices include cameras, drones, or satellites.

3. The system (100) as claimed in claim 1, wherein the image processing module is configured to detect visible symptoms of plant diseases, including discoloration, lesions, and abnormal grow

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