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市場調查報告書

精密農業的巨量資料

Big Data in Precision Agriculture

出版商 Lux Research 商品編碼 333110
出版日期 內容資訊 英文 22 Pages
商品交期: 最快1-2個工作天內
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精密農業的巨量資料 Big Data in Precision Agriculture
出版日期: 2015年06月02日 內容資訊: 英文 22 Pages
簡介

採用少量的肥料,也能改善環境並提供給人們更多的食物,是全球面臨的最大課題,農民需要解決其課題。從農藥的使用到勞動及現金流量,在食物生產的效率提高中的巨量資料是對栽培者來說最有彈性的工具。

本報告以精密農業的巨量資料的有效利用為焦點,提供市場情勢、趨勢分析,及今後展望等彙整資料。

摘要整理

形勢

  • 受到食品安全性及永續性的疑慮促進,栽培者、供應商對擴大食物栽培資料有效利用而努力。

分析

  • 栽培者為了可在農業使用巨量資料,技術開發者需要以策略性、戰術性目標為焦點。識別築起引進與成長的地基利用案例、產業案例。

展望

圖表

目錄

Feeding more people with less input while improving the environment - it may be the biggest challenge facing the world, and farmers have to solve it. Fortunately, it's certainly possible - we just need to know where the waste is, and how to cut it or avoid it in the first place. From chemical inputs to labor and cashflow, big data can be a grower's most flexible tool for increasing the efficiency of food production.

Table of Contents

EXECUTIVE SUMMARY

LANDSCAPE

Data points do not knowledge make - growers and suppliers are endeavoring to expand the utility of data in growing food, driven by food security and sustainability concerns.

ANALYSIS

To enable growers to use big data in ag, tech developers need to focus on meeting strategic and tactical goals. Identify the use case and business case to lay the groundwork for adoption and growth.

OUTLOOK

TABLE OF FIGURES

  • Figure 1: Graphic As Data Sources Grow Like Weeds, Agricultural Big Data Is Overwhelming Farmers
  • Figure 2: Graphic Big Data in Ag Correlates Biology, Climate, and Farmer Inputs and Actions to Crop Output
  • Figure 3: Graphic Sub-segments and Vendors in Sensing, Analytics, and Data Management
  • Figure 4: Graphic To Develop a Big Data Strategy, Begin with the End in Mind
  • Figure 5: Table Setting Tactical and Strategic Goals for Big Data Projects in Agriculture
  • Figure 6: Graphic Use Cases for BDiAg Fall into Five Main Categories
  • Figure 7: Table Specific Use Cases for BDiAg Fall into the Various Strategic Goals for Growers
  • Figure 8: Table Various Business Factors Come Together to Create the Business Cases for BDiAg Use Cases
  • Figure 9: Table Data Required for Each Use Case - and Where to Get It
  • Figure 10: Table Future Scenarios of Big Data Disruption in Agriculture
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