The state of the art approach for determining a plant’s health based on pictures is a type of deep learning called Convolutional Neural Network (CNN). The overall modeling process required several steps for effectively preparing the data for the CNN model to yield a good result. Figure 2 bel...
Comparative approach on crop detection using machine learning and deep learning techniquesdoi:10.1007/s13198-024-02483-9Crop predictionMachine learningDeep learningRandom forestSupport vectorConvolutional neural networkClassification algorithmsEnsemble learningDeep neural network...
Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research 2021, Remote Sensing Machine learning in agriculture: A comprehensive updated review 2021, Sensors Characterising the agriculture 4.0 landscape—emerging trends, challenges and opportunities...
Kumar, V., Aydav, P.S.S. & Minz, S. Crop Seeds Classification Using Traditional Machine Learning and Deep Learning Techniques: A Comprehensive Survey.
survey to build a more accurate model for leaf disease classification and detection using machine learning with a wide range of datasets. This will be very beneficial for farmers to boost productivity and build their economies. 展开全部 机器翻译...
Disease detection with SI has benefited greatly from data processing using artificial intelligence (AI), specifically machine learning (ML) (Hruška et al., 2018; Jiménez-Brenes et al., 2019). However, using ML with SI requires powerful compute and storage media to process potentially ...
4. Weed detection using machine learning 5. Weed detection using deep learning 6. Weed detection using hybrid method 7. Performance method using dataset benchmark 8. Future work and discussion 9. Conclusion Declaration of competing interest Acknowledgement ReferencesShow full outline Cited by (3) ...
A comprehensive survey on weed and crop classification using machine learning and deep learning 来自 dx.doi.org 喜欢 0 阅读量: 18 作者:FD Adhinata,Wahyono,R Sumiharto 摘要: Comprehensive overview of AI-based methods in weed detection and classification.Discusses thoroughly the important stages of ...
Ouhami, M., Hafiane, A., Es-Saady, Y., et al.: Computer vision, IoT and data fusion for crop disease detection using machine learning: a survey and ongoing research. Remote Sens. (2021). https://doi.org/10.3390/rs13132486 Article Google Scholar Pan, Q., Gao, M., Wu, P., ...
Machine learningDiscriminant analysisFusarium oxysporumClassificationField-verifiable technologies for the detection and mapping of diseases in vegetable crops are vital for undertaking precision agriculture practices. The evolving hyperspectral sensors have the capacity to offer plant referenceable spectral data ...