Artificial neural network potential in yield prediction of lentil (Lens culinaris L.) influenced by weed interference

Artificial neural network potential in yield prediction of lentil (Lens culinaris L.) influenced by weed interference

This study was conducted to predict the yield and biomass of lentil (Lens culinaris L.) affected by weeds using artificial neural network and multiple regression models. Systematic sampling was done at 184 sampling points at the 8-leaf to early-flowering and at lentil maturity. The weed density a...

Full description

Bibliographic Details
Main Authors: Alireza Bagheri, Negin Zargarian, Farzad Mondani, Iraj Nosratti
Format: Article
Language:English
Published: Polish Academy of Sciences 2020-08-01
Series:Journal of Plant Protection Research
Subjects:
neural network
prediction models
pulses
weed interference
yield estimation
Online Access:https://doi.org/10.24425/jppr.2020.133953

Internet

https://doi.org/10.24425/jppr.2020.133953

Similar Items