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Article . 2021
License: CC BY NC
Data sources: Datacite
ZENODO
Article . 2021
License: CC BY NC
Data sources: Datacite
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A Survey on Precision Agriculture: Crop Health Monitoring and Protection

Authors: Yash Bhandari; Mrunal Ingale; Mayur Jagtap; Avi Raghuvanshi; Pallavi Dhade;

A Survey on Precision Agriculture: Crop Health Monitoring and Protection

Abstract

Precision Agriculture has been playing a significant role in the refinement of plants' health. It ensures that crops and soil receive exactly what they need for optimum health and productivity. The term also involves minimizing pests, unwanted flooding, and disease.This paper gives a review on various plants protection and monitoring techniques. Authors mentioned here have proposed different solutions like use of drone technologies and deep learning methods. Deep learning has been playing a significant role in identifying the diseases in plants. Algorithms like VGG-net, Res-net,CNN and image processing techniques have proved to be significant in recognizing many plant diseases.

Keywords

Precision agriculture, Agricultural Rover, Quantized model, Image Processing, Drones technology, Deep learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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