Agriculture and Big Data: Will Big Data technologies be the next big leap for industrialized agriculture

Some of the very biggest agriculture firms have been offering services based on Big Data technologies in recent years. The principle process is to use Big Data collection to make farming more efficient and ultimately making each field yield more crops with less inputs. Some big claims are being made about this type of technology, with some suggesting 10-15% gains in farm efficiency are possible.

Scope

Learn what techniques are used to implement Big Data and why so many industries and companies are trying to implement it's lessons.

Establish what the offerings are from the Big Agriculture companies and learn how they work.

Find out what benefits the technology has for farming and food production as a whole.

learn what risks there are within the industry and what negatives might there be to collecting all this data.

There is a broader reason why companies are using big data techniques and usually the primary purpose, hides a more useful secondary one.

Reasons to buy

What is Big Data and why is it being used in a number of industries?

How does Big Data affect farming and what can it do to improve farming efficiency?

Who is offering big data products to farmers, and why are they offering it?

Is there any early evidence to suggest that Big Data techniques in farming could increase the global food output?

Just how safe is it to collect so much data and is there a risk?

Companies mentioned

None

Table of Contents

OVERVIEW

Catalyst

Summary

WHAT IS BIG DATA AND HOW IS IT USEFUL

Big Data sets organize information on a huge scale

Hadoop systems provide speed and protection against failure

Who is using Big Data in other industries and why

EFFICIENCY IS THE MAIN AGRICULTURAL TREND

Agriculture industry needs to find ways to produce more

Big Data has arisen from the agricultural efficiency trend

TYPES OF PRODUCTS COMING ON THE MARKET

Monsanto uses Big Data to enhance its expertise in seed traits

Monsanto’s Field Scripts program analyses a harvest

Climate Corp could be Monsanto’s key ingredient

Key agricultural terms and variables that Monsanto inputs

Plant Population

Hybrid matches

Yield environment

Big Data is agriculture’s form of precise advertising

John Deere uses Big Data to streamline its equipment

Field Connect is a probe that sends real time field data to be analyzed

John Deere Documentation and Green Star allows in depth planning

John Deere farms sight syncs each machine to another

THE TECHNOLOGY IS BEING PROVEN IN THE FIELD

Positives and negatives have been seen in some early analysis

It has been seen that farmers can test the claims of products

More efficient use of seeds, fertilizer and pesticides

BIG DATA IS A TROUBLING CONCEPT TO SOME

Data getting into the wrong hands happens regularly

There are no guarantees that this data would be used ethically

An issue of trust remains over why should data be given away

Poverty in some markets, presents problems and opportunities

Climate change will make Big Data farming irrelevant

CONCLUSIONS

Not enough is known to say Big Data will definitively help

What developments will we see and what should customers do

APPENDIX

Sources

Further Reading

Definitions

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