Outside of competition setting, if we expect our model to be used in practical applications, it is important to explain why the model classified a given image. We explored a few examples using an explainable AI technique called Gradient-weighted Class Activation Map (Grad-CAM) to highlight the...
Smart Irrigation and Crop Disease Detection Using Machine Learning – A SurveyWater wastage in agricultural fields has been one of the major issues in various countries especially in India. Hence it is very important to reduce water loss in different situations due to various factors like pipe ...
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., ...
using various machine learning and deep learning algorithms. It also discuss-es machine learning, its application to agriculture, as well as its benefits and drawbacks. Develop an automatic disease detection system for leaf disease classification and detection using web-based or mobile-based ...
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...
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) ...
iot machine-learning camera agriculture sensor ml animal-detection mit-app-inventor crop-disease-detection animal-breach-detection Updated Sep 18, 2021 Python yMayanand / crop-disease-detection Star 2 Code Issues Pull requests This project uses CNN to identify diseases in plants using image of...
particularly Machine Learning (ML) and Deep Learning (DL) techniques, has emerged as a promising solution for ensuring seed quality and variety purity. For many years, classical ML algorithms have been successfully applied to solve seed quality and variety problems using image processing techniques. ...
Disease detectionMachine 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 ...