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A Review on Agricultural Advancement Based on Computer Vision and Machine Learning
A. Paul, S. Ghosh, A.K. Das, S. Goswami, S. Das Choudhury,
Published in Springer Verlag
Volume: 937
Pages: 567 - 581
The importance of agriculture in modern society need not be overstated. In order to meet the huge requirements of food and to mitigate, the conventional problems of cropping smart and sustainable agriculture have emerged over the conventional agriculture. From computational perspective, computer vision and machine learning techniques have been applied in many aspects of human and social life, and agriculture is not also an exception. This review paper gives an overview of machine learning and computer vision techniques which are inherently associated with this domain. A summary of the works highlighting different seeds, crops, fruits with the country is also enclosed. The paper also tries to give an analysis, which can help researchers to look at some relevant problems in the context of India. © Springer Nature Singapore Pte Ltd 2020.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing
PublisherData powered by TypesetSpringer Verlag