Predicting rainfed wheat quality and quantity by artificial neural network using terrain and soil characteristics-Reference-Cited by-同舟云学术

Predicting rainfed wheat quality and quantity by artificial neural network using terrain and soil characteristics

Published:2010-07 Issue:4 Volume:60 Page:341-352
ISSN:0906-4710
Container-title:Acta Agriculturae Scandinavica, Section B - Plant Soil Science
language:en
Short-container-title:Acta Agriculturae Scandinavica, Section B - Soil & Plant Science

Author:

Norouzi M.,Ayoubi S.,Jalalian A.,Khademi H.,Dehghani A.A.

Publisher

Informa UK Limited

Subject

Soil Science,Agronomy and Crop Science

Link

http://www.tandfonline.com/doi/pdf/10.1080/09064710903005682

Reference75 articles.

1. Abbaszadeh F. 2008 Quantifying soil erosion and deposition rates using137Cs measurement and geostatistics on a complex hillslope in Ardal, Chaharmahal and Bakhtiari province MSc thesis in Soil Science. College of Agriculture, Isfahan University of Technology, Isfahan, Iran

2. Effect of Landscape Position on Soil Water and Corn Silage Yield

3. Soil carbon and nitrogen changes as influenced by tillage and cropping systems in some Iowa soils

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using spectral vegetation indices and machine learning models for predicting the yield of sugar beet (Beta vulgaris L.) under different irrigation treatments;Computers and Electronics in Agriculture;2024-06

2. Spatial prediction of winter wheat yield gap: agro-climatic model and machine learning approaches;Frontiers in Plant Science;2024-01-08

3. Modeling the effect of slope aspect on temporal variation of soil water content and matric potential using different approaches by HYDRUS-1D;Geoderma Regional;2023-12

4. The dynamics of soil nutrients in cold desert environments in the north-west Himalayas under a variety of forest types using geographical information system;Environment, Development and Sustainability;2023-07-06

5. Use of multivariate analysis and machine learning methods to characterize traits contributing to wheat yield diversity;Spanish Journal of Agricultural Research;2023-02-01