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[HTML][HTML] Deep learning based computer vision approaches for smart agricultural applications
The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …
[HTML][HTML] Review of weed detection methods based on computer vision
Z Wu, Y Chen, B Zhao, X Kang, Y Ding - Sensors, 2021 - mdpi.com
Weeds are one of the most important factors affecting agricultural production. The waste and
pollution of farmland ecological environment caused by full-coverage chemical herbicide …
pollution of farmland ecological environment caused by full-coverage chemical herbicide …
Plant disease detection and classification by deep learning
Plant diseases affect the growth of their respective species, therefore their early identification
is very important. Many Machine Learning (ML) models have been employed for the …
is very important. Many Machine Learning (ML) models have been employed for the …
A review on weed detection using ground-based machine vision and image processing techniques
Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …
electronic and information technologies, machine vision combined with image processing …
Deep learning in agriculture: A survey
Deep learning constitutes a recent, modern technique for image processing and data
analysis, with promising results and large potential. As deep learning has been successfully …
analysis, with promising results and large potential. As deep learning has been successfully …
DeepWeeds: A multiclass weed species image dataset for deep learning
Robotic weed control has seen increased research of late with its potential for boosting
productivity in agriculture. Majority of works focus on develo** robotics for croplands …
productivity in agriculture. Majority of works focus on develo** robotics for croplands …
[HTML][HTML] A review of imaging techniques for plant disease detection
Agriculture is the basis of every economy worldwide. Crop production is one of the major
factors affecting domestic market condition in any country. Agricultural production is also a …
factors affecting domestic market condition in any country. Agricultural production is also a …
Real-time semantic segmentation of crop and weed for precision agriculture robots leveraging background knowledge in CNNs
Precision farming robots, which target to reduce the amount of herbicides that need to be
brought out in the fields, must have the ability to identify crops and weeds in real time to …
brought out in the fields, must have the ability to identify crops and weeds in real time to …
Image-based deep learning automated sorting of date fruit
Abstract Deep Convolutional Neural Network (CNN) with a unique structure for combining
the feature extraction and classification stages, has been considered to be a state-of-the-art …
the feature extraction and classification stages, has been considered to be a state-of-the-art …
Agricultural robot dataset for plant classification, localization and map** on sugar beet fields
There is an increasing interest in agricultural robotics and precision farming. In such
domains, relevant datasets are often hard to obtain, as dedicated fields need to be …
domains, relevant datasets are often hard to obtain, as dedicated fields need to be …