Internet of Things solution is proposed to predict the whitefly attack to take prevention measures. An insect pest prediction system (IPPS) was developed with the help of the Internet of Things and a RBFN algorithm based on environmental parameters such as temperature, humidity, rainfall, and wind speed.
The economic threshold level and RBFN algorithm are used to predict the whitefly attack using temperature, humidity, rainfall, and wind speed.
An insect pest prediction system (IPPS) was developed with the help of the Internet of Things and a RBFN algorithm based on environmental parameters such as ...
Abstract: Agriculture is suffering from the problem of low fertility and climate hazards such as increased pest attacks and diseases. Early prediction of ...
Jul 12, 2021 · The economic threshold level and RBFN algorithm are used to predict the whitefly attack using temperature, humidity, rainfall, and wind speed.
Jan 1, 2021 · The economic threshold level and RBFN algorithm are used to predict the whitefly attack using temperature, humidity, rainfall, and wind speed.
This review indicates that insects can be detected with an accuracy of between 70 and 98% using camera/microphone sensors and enhanced deep learning algorithms.
Research Article: IOT-Based Cotton Whitefly Prediction Using Deep Learning. Uploaded by. Saeed Azfar. 0 ratings0% found this document useful (0 votes). 7 views.
IoT can perform a significant role in the prediction of whitefly based on environmental factors. As the agricultural sector is facing many challenges regarding ...
In this research, we proposed a DL-based cotton leaf disease detection approach using fine-tuning Transfer Learning (TL) algorithms.