Journal ArticleDOI
Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability
Reads0
Chats0
TLDR
A well-structured questionnaire was used to collect data of 360 domestic buffalo farms from Punjab Pakistan during May-July 2017 as discussed by the authors, which revealed that milk production was mainly dependent on renewable energy inputs, particularly millet, minerals, concentrates, and sorghum.About:
This article is published in Energy.The article was published on 2019-09-15. It has received 84 citations till now. The article focuses on the topics: Energy source & Renewable energy.read more
Citations
More filters
Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Journal ArticleDOI
Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan
TL;DR: In this paper, a survey of 1232 wheat growers from Pakistan, conducted in April and May of 2019, was used to estimate the production risk of wheat farms to weather shocks and the effectiveness of physical, non-physical, and innovative management strategies for reducing crop damages.
Journal ArticleDOI
Extreme weather events risk to crop-production and the adaptation of innovative management strategies to mitigate the risk: A retrospective survey of rural Punjab, Pakistan
TL;DR: In this paper , a survey of 1232 wheat growers from Pakistan, conducted in April and May of 2019, the authors estimated the production risk of wheat farms to weather shocks and the effectiveness of physical, non-physical, and innovative management strategies for reducing crop damages.
Journal ArticleDOI
Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture
TL;DR: In this article , an extension of the Theory of Planned Behaviour (TPB) was used to evaluate farmers' intentions to install a photovoltaic (PV) water pump in rural Pakistan and the farmers willingness to pay extra for green electricity.
Journal ArticleDOI
Machine Learning in Agriculture: A Comprehensive Updated Review.
Lefteris Benos,Aristotelis C. Tagarakis,Georgios Dolias,Remigio Berruto,Dimitrios Kateris,Dionysis Bochtis +5 more
TL;DR: In this paper, a review of the recent literature on machine learning in agriculture is presented, where a plethora of machine learning algorithms are used, with those belonging to Artificial Neural Networks being more efficient.
References
More filters
Book
Data Mining: Concepts and Techniques
TL;DR: This book presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects, and provides a comprehensive, practical look at the concepts and techniques you need to get the most out of real business data.
Book
Pattern Recognition and Machine Learning
TL;DR: Probability Distributions, linear models for Regression, Linear Models for Classification, Neural Networks, Graphical Models, Mixture Models and EM, Sampling Methods, Continuous Latent Variables, Sequential Data are studied.
Journal ArticleDOI
Pattern Recognition and Machine Learning
TL;DR: This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.
Pattern Recognition and Machine Learning
TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
Journal ArticleDOI
Methods for interpreting and understanding deep neural networks
Grégoire Montavon,Wojciech Samek,Klaus-Robert Müller,Klaus-Robert Müller,Klaus-Robert Müller +4 more
TL;DR: The second part of the tutorial focuses on the recently proposed layer-wise relevance propagation (LRP) technique, for which the author provides theory, recommendations, and tricks, to make most efficient use of it on real data.