Crop Production India with Weather Features

kaggle2026-04-05 更新2026-05-09 收录

农业产量预测

精准农业

数据链接：

https://www.kaggle.com/datasets/atharvpratapsingh/crop-production-india-with-weather-features 数据链接链接失效反馈

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资源简介：

Can you make Crop Yield Predictor for India?

能否为印度开发作物产量预测器（Crop Yield Predictor）？

创建时间：

2026-04-05

A sampling plan and spatial distribution for site-specific control of Sphenophorus levis in sugarcane

农业害虫管理

精准农业

ABSTRACT. Sphenophorus levis has become a major pest of sugarcane plantations in Brazil, causing significant losses in productivity. Few studies have been conducted on the spatial distribution of this

DataCite Commons2021-03-24 更新110

Southern Grampians Model of Mustard Suitability

适宜性分析

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Current suitability model for the commodity of Mustard in Southern Grampians Shire Council. As modelled through the Land Use Capability project by Deakin University for Southern Grampians Shire Counci

Research Data Australia70

Predicting Irrigation Need - Submission Dataset

灌溉管理

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Competition Notebook's Submission files - Blending Purpose

kaggle2026-04-29 更新40

2019年中国农业大学工学院654-2019-2020年液态肥精准对靶供肥系统不同作业速度和压力设定值下供肥系统压力变化数据集

精准农业

农业技术

选取管路压力设定值分别为0.10、0.15、0.20、0.25和0.30Mpa，作业速度分别为3.0 km/h、4.0 km/h和5.0 km/h进行试验，并实时采集管路压力。主要的试验指标是达到压力设定值5s后的管路压力实际值相对于设定值的最大误差、平均误差和标准差，用来表征作业速度和管路压力设定值下供肥系统的稳定性和可靠性，主要包括3种前进速度和5种不同设定压力下的压力变化。

国家农业科学数据中心2021-09-15 更新80

Breaking the field phenotyping bottleneck in maize with autonomous robots

精准农业

作物表型

Understanding phenotypic plasticity in maize (Zea mays L.) is a current grand challenge for continued crop improvement. Measuring the interactive effects of genetics, environmental factors, and man

DataCite Commons2025-06-01 更新40

Crop Production India with Weather Features

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