Dataset for Smart Precision Agriculture System in Bangladesh

Citation Author(s):
Md. Nazmul
Islam
Notre Dame University Bangladesh
Rup
Chowdhury
Notre Dame University Bangladesh
Prapti
Das
Notre Dame University Bangladesh
Fernaz Narin
Nur
Notre Dame University Bangladesh
Submitted by:
Fernaz Nur
Last updated:
Fri, 06/21/2024 - 13:40
DOI:
10.21227/5j31-8a73
Data Format:
License:
0
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Abstract 

The dataset comprises many variables like area, production, season, minimum humidity, maximum humidity, minimum temperature, maximum temperature, district, crop name which impact the agricultural output of different crops in the region of Bangladesh. Surveys were conducted in various areas of Bangladesh to gather data on different types of crops. The primary aim of this collection is to facilitate research in the domain of precision agriculture. The gathered data will assist in developing algorithms and solutions that are more accurate and efficient for making data-driven judgments. This dataset was used to train different machine learning models. The trained models can provide suggestion on most efficient crop yield.

Comments

Bilgi edinip benzer bir proje geliştirmek için incelemek istedim.

Submitted by Saniye Akyol on Mon, 02/05/2024 - 08:24

Я намерен изучить запрошенный набор данных, чтобы разработать аналогичный проект.

Submitted by Fatma Ben Lakhdhar on Tue, 02/27/2024 - 08:37

Я намерен изучить запрошенный набор данных, чтобы разработать аналогичный проект.

Submitted by Fatma Ben Lakhdhar on Tue, 02/27/2024 - 08:36

Я намерен изучить запрошенный набор данных, чтобы разработать аналогичный проект.

Submitted by Fatma Ben Lakhdhar on Tue, 02/27/2024 - 08:37

I want to examine the data set to implement it in a machine learning project.

Submitted by Tolga Demir on Tue, 03/05/2024 - 00:15