Evidence map›Paper›PMID 38158841›Full record

ArticleWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2024

Predicting opinion using deep learning: From burning to sustainable management of organic waste in Indian State of Punjab.

Amandeep Singh, Rupasi Tiwari, Pardeep Singh Nagra, Pratikshya Panda, Gurpreet Kour, Bilawal Singh, Pranav Kumar, Triveni Dutt

Open access · hybridAbstract read
In one paragraph

Article in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Amandeep SinghGuru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, India.ORCID 0000-0001-9906-7659
Rupasi TiwariICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.
Pardeep Singh NagraFazz Incorporation, Ayer Rajah Crescent, Singapore.
Pratikshya PandaDepartment of Veterinary and Animal Husbandry Extension Education, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Rampura Phul, Punjab, India.ORCID 0000-0001-5488-1008
Gurpreet KourDepartment of Animal Genetics and Breeding, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, India.
Bilawal SinghDepartment of Veterinary Gynaecology and Obstetrics, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, India.
Pranav KumarFaculty of Veterinary Sciences and Animal Husbandry, Division of Veterinary and Animal Husbandry Extension Education, Sher-E-Kashmir University of Agricultural Sciences and Technology of Jammu, Jammu, Jammu and Kashmir, India.
Triveni DuttICAR-Indian Veterinary Research Institute, Bareilly, Uttar Pradesh, India.
Guru Angad Dev Veterinary and Animal Sciences University · INIndian Veterinary Research Institute · INSher-e-Kashmir University of Agricultural Sciences and Technology of Jammu · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In winter season, the burning of crop residues for ease of sowing the next crop, along with industrial emissions and vehicular pollution leads to settling of a thick layer of smog in northern part of India. Therefore, to understand the opinion of farmers regarding sustainable management of organic waste, the present study was conducted in Ludhiana district of Indian state of Punjab. An ex post facto research design was used and a total of 800 dairy farmers having significant crop area were selected randomly for the study, grouped equally as small and large dairy farmers. Results revealed that majority of farmers had a highly favourable opinion regarding organic waste management due to the fact that they were aware of the ill-effects of undesirable practices like crop residue burning. Further, to predict the farmers' opinion and the effect of independent variables on farmers' opinion, a multi-layer perceptron feed-forward deep neural network was developed with mean squared error of 0.036 and 0.137 for validation and training data sets respectively, marking a novel approach of analysing farmers' behaviour. The neural network highlighted that with increase in the magnitude of input variables, namely, education, experience in dairying, information source utilisation, knowledge regarding organic waste management, etc., the farmers' opinion regarding sustainable waste management increases. The study concluded with the impression that cognitive processes like education, information and knowledge play a significant role in forming the opinion of the farmers. Therefore, efforts focusing on enhancing cognition should be made for sustainable management of organic waste.

Indexed as

Deep LearningWaste ManagementDairyingFarmersHumansIndiaNeural Networks, ComputerCrop residue burningdeep neural networkfeed-forwardopinionPunjab

Identifiers

PMID38158841
PMCPMC11608521
OpenAlexW4390447408

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.