Classification of crops and weeds from digital images: A support vector machine approach
In most agricultural systems, one of the major concerns is to reduce the growth of weeds. In
most cases, removal of the weed population in agricultural fields involves the application of …
most cases, removal of the weed population in agricultural fields involves the application of …
Solar power prediction using dual stream CNN-LSTM architecture
The integration of solar energy with a power system brings great economic and
environmental benefits. However, the high penetration of solar power is challenging due to …
environmental benefits. However, the high penetration of solar power is challenging due to …
An IoT enable anomaly detection system for smart city surveillance
Since the advent of visual sensors, smart cities have generated massive surveillance video
data, which can be intelligently inspected to detect anomalies. Computer vision-based …
data, which can be intelligently inspected to detect anomalies. Computer vision-based …
Revolutionizing solar power production with artificial intelligence: a sustainable predictive model
Photovoltaic (PV) power production systems throughout the world struggle with
inconsistency in the distribution of PV generation. Accurate PV power forecasting is …
inconsistency in the distribution of PV generation. Accurate PV power forecasting is …
[PDF][PDF] Automated weed classification with local pattern-based texture descriptors.
In conventional cropping systems, removal of weed population extensively relies on the
application of chemical herbicides. However, this practice should be minimized because of …
application of chemical herbicides. However, this practice should be minimized because of …
[PDF][PDF] Weed Image Classification using Wavelet Transform, Stepwise Linear Discriminant Analysis, and Support Vector Machines for an Automatic Spray Control …
We tested and validated the accuracy of wavelet transform along with stepwise linear
discriminant analysis (SWLDA) and support vector machines (SVMs) for crop/weed …
discriminant analysis (SWLDA) and support vector machines (SVMs) for crop/weed …
Weed classification based on Haar wavelet transform via k-nearest neighbor (k-NN) for real-time automatic sprayer control system
Weeds cause harm to crops by competing for water, light, nutrients and space, reducing crop
yields and inhibiting the efficiency of machinery. Although there is a large volume of work on …
yields and inhibiting the efficiency of machinery. Although there is a large volume of work on …
A study on local binary pattern for automated weed classification using template matching and support vector machine
Concerns regarding the environmental and economic impacts of excessive herbicide
applications in agriculture have promoted interests in seeking alternative weed control …
applications in agriculture have promoted interests in seeking alternative weed control …
[PDF][PDF] Performance analysis of support vector machine and bayesian classifier for crop and weed classification from digital images
In conventional cropping systems, removal of weed population tends to rely heavily on the
application of chemical herbicides, which has had successes in attaining higher profitability …
application of chemical herbicides, which has had successes in attaining higher profitability …
[PDF][PDF] Efficient algorithm for real-time specific weed leaf classification system
A computer-assisted automatic spray control system for herbicides is an important issue from
the economical perspective, but it is also a technical challenge. Weeds cause harm to crops …
the economical perspective, but it is also a technical challenge. Weeds cause harm to crops …