Indian cereal crops (wheat and rice) phenology and agricultural management data across Indian croplands from 1960's to 2020

The site scale observations of the Indian crops are very rarely available for public access. Students at all agricultural institutes across India carry out experiments on Indian crops as part of their curriculum and report the results in a thesis. The thesis from such institutes is uploaded to the Krishikosh repository (https://krishikosh.egranth.ac.in). To fill the gap of absence of crop data on Indian crops, we started to look at this repository and collect data. We have collected and harmonized crop phenology and agricultural management data of major Indian crops such as spring wheat and rice from these theses. This dataset is the first of its kind, providing and combining weather data from several crop-growing regions. We are combining data from 83 theses related to rice and data from 64 theses related to spring wheat. These data are from 48 individual sites, a few of which have multiple growing seasons.印度作物的站点尺度观测数据极少对外开放获取。印度全国各农业院校的学生均会以印度作物为对象开展课程实验，并将实验结果撰写为学位论文。此类院校产出的学位论文会上传至Krishikosh知识库（https://krishikosh.egranth.ac.in）。为填补印度作物相关数据匮乏的空白，我们着手检索该知识库并开展数据采集工作。我们从上述学位论文中采集并标准化整合了印度主要作物（如春小麦与水稻）的作物物候与农业管理数据。本数据集为同类首个，整合了多个作物种植区域的气象数据。本次采集整合了83篇水稻相关学位论文与64篇春小麦相关学位论文的数据。这些数据源自48个独立站点，其中部分站点包含多个生长季的观测记录。

搜集汇总

背景与挑战

背景概述

该数据集整合了印度春小麦和水稻的物候及农业管理数据，时间跨度为1960年代至2020年，基于印度农业机构学生的毕业论文从Krishikosh仓库收集而成。它覆盖印度48个站点，包括83篇水稻论文和64篇春小麦论文的数据，首次提供了作物种植区的天气数据整合，填补了印度作物公开数据的空白。