How can photo processing be used to identify poisonous plants?
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Photo processing can be used to identify poisonous plants by applying machine learning algorithms to extract features and classify the plants based on their characteristics . Image acquisition, pre-processing, segmentation, feature extraction, and classification are the steps involved in using image processing technology for disease detection in crops . An efficient mechanism for determining the health or disease affecting a plant is proposed, which compares two instances of the plant to find differences in color pixel levels . Computer vision techniques can be used to automatically detect plant diseases by recognizing the affected spots through image processing . Image processing is used for the detection of plant diseases by acquiring images, pre-processing, segmenting, extracting features, and classifying the diseases .
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| Papers (5) | Insight |
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| The provided paper does not specifically discuss the use of photo processing for identifying poisonous plants. The paper focuses on the detection of plant diseases using image processing techniques. | |
| The provided paper does not mention how photo processing can be used to identify poisonous plants. The paper focuses on using image processing and machine learning algorithms to identify medicinal plants. | |
| The provided paper does not discuss the identification of poisonous plants using photo processing. The paper focuses on the early identification of plant diseases using image processing. | |
| The provided paper does not discuss the identification of poisonous plants using photo processing. The paper focuses on the detection and classification of plant diseases using image processing techniques. | |
Open access•Journal Article | The provided paper does not specifically mention the identification of poisonous plants using photo processing. The paper focuses on the detection of plant diseases using image processing techniques. |
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