Work

Predicting CO₂ emissions from farm inputs in wheat production using artificial neural networks and linear regression models - Case study in Canterbury, New Zealand

Year: 2016

Type: peer-review

Source: Lincoln University Research Archive (Lincoln University)

DOI: 10.14569/issn.2156-5570

Authors: Safa, Majeed, Nejat, M, Nuthall, P, Greig, Bruce

Language: English

Topic: Energy, Environment, Agriculture Analysis

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Climate action, Zero hunger

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: Elucidation of external stimuli effect on transient state of consumers' purchase process

OpenAlex ID: W3083451010

Cites:

Cited by: 10

Related to: 12