Multi-variant Analysis of Climatic Conditions and Soil Rainfall with Best Crop Prediction

• 全文链接

具有最佳作物预测的气候条件和土壤降雨的多变量分析

关键词：

来源：

IEEE

全文链接：

//agri.nais.net.cn/topic/downloadFile/5c7301f0-2124-4ad7-8da2-cd2e6a52dcb6

来源地址：

//agri.nais.net.cn/topic/downloadFile/5c7301f0-2124-4ad7-8da2-cd2e6a52dcb6

资源所属：

农业水土资源监测专题

类型：

会议论文

语种：

英语

原文发布日期：

2022-05-24

摘要：

Agriculture is an important job in the development of the nation’s economy. The climate along with other natural variations has to turn out to be a significant risk in the agricultural field. Machine Learning technology can be used for determining the best crop suitable for the climatic condition, soil condition from the data set for addressing this issue. Crop Yield Prediction includes anticipating the yield of the crop from accessible verifiable information like climate parameter, soil parameter, and notable yield. Such huge numbers of individuals are doing fertile agriculture by developing the yield on ill-advised soil. To actualize the application to recognize the sorts of oil, water wellspring of that land whether that land depends on downpour or bore water. Furthermore, recommend what of the crop is reasonable for that dirt. So, through this application to the individual to think about agriculture. It tends to be improved by the utilization of many mechanical assets, device, and methods. Find the kind of crop that is appropriate for that specific soil.