Dataset for Smart Precision Agriculture System in Bangladesh

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.

该数据集包含多个变量，如面积、产量、季节、最低湿度、最高湿度、最低温度、最高温度、区域以及作物名称等，这些变量影响着孟加拉国地区不同作物的农业产出。数据收集工作在孟加拉国的多个地区进行，以搜集不同类型作物的相关数据。该数据集的主要目标是促进精准农业领域的研究。收集到的数据将有助于开发更精确、高效的算法和解决方案，以支持数据驱动的决策。此数据集已被用于训练多种机器学习模型，训练后的模型能够就最有效的作物产量提供建议。