Journal
AGRICULTURAL WATER MANAGEMENT
Volume 229, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.agwat.2019.105907
Keywords
Reference evapotranspiration; Crop ETc; Fuzzy-Genetic Algorithm; Regularized random forest
Categories
Funding
- CSIR - Ministry of Minority Affairs, Government of India
Ask authors/readers for more resources
Smart farming has played a significant role in decision support system to maximize the yield with minimum consumption of water in the field of agriculture. The main objective of this paper is to design and develop an innovative multilevel model ensembling for accurate estimation of crop coefficient (K-c) and reference evapotranspiration (ETc) using Fuzzy-Genetic (FG) and Regularization Random Forest(RRF) models. This study present the water requirement of three crops namely (maize, wheat(1) and wheat(2)) in which ET(c )is a function of the product of the crop coefficient K-c and reference evapotranspiration (ET0). The proposed model is used to analyze the data collected by IMD, Pune and PAU, Ludhiana (case study) for decision making in a crop water model. The proposed FG-RRF(ETc) crop prediction model efficiently estimated K-c and ETc and make an efficient decision.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available