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Data · dataset · 2024

SPAS-Dataset-BD

Listed in Teesside University Research Data Repository

The dataset includes numerous variables such as area, production, season, minimum humidity, maximum humidity, minimum temperature, maximum temperature, district, and crop name, all of which influence the agricultural output of various crops in the context of Bangladesh.

Description

Data collection was carried out through surveys across diverse regions of Bangladesh to analyze various crop types. The data set is intended to support investigations in the field of precision agriculture.

The collected data will aid in the creation of algorithms and solutions that enhance accuracy and efficiency in data-driven decision-making. This dataset served as a foundation for training various machine learning models. The developed models can offer recommendations on the most effective crop yield.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/cphdw4z5kw.214 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:4602mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Artificial Intelligence']
concepts[field].anzsrc:group:4611mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Machine Learning']
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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