This paper takes advantage of labeled historical data to extract association rules as the supervised information, and combining with the use of the unsupervised ...
The experimental results of Guangdong vegetable pest flea beetle show the prediction and early warning accuracy of semi-supervised learning method provides a ...
This paper establishes the forecast model for vegetable pest flea beetle by maximum likelihood algorithm. Besides, algorithm ensembles can improve the system of ...
Apr 25, 2024 · Prediction and Early Warning Method for Flea Beetle Based on Semi-supervised Learning Algorithm. ICNC (4) 2008: 217-221. [c1]. view. electronic ...
Prediction and Early Warning Method for Flea Beetle Based on Semi-supervised Learning Algorithm. T. Li, J. Yang, X. Peng, Z. Chen, and C. Luo.
Prediction and Early Warning Method for Flea Beetle Based on Semi-supervised Learning Algorithm ... flea beetle show the prediction and early warning ...
... early warning and prediction method of flea beetle based on maximum likelihood algorithm ensembles. In: Proceedings of 2010 6th international conference on ...
May 21, 2017 · Bibliographic details on The early warning and prediction method of flea beetle based on maximum likelihood algorithm ensembles.
Missing: Semi- supervised Learning
The long-term aim is to utilize this research for developing an automated method to study the corre- lation of occurrence of pests with damage to plants and ...
The economic threshold level and RBFN algorithm are used to predict the whitefly attack using temperature, humidity, rainfall, and wind speed.