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In: Accounting

List and describe the technologies used in this case study.

List and describe the technologies used in this case study.

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Expert Solution

Answer:

Technologies used in farming:

Information technology is taking a strong hold in reshaping the farming as it did for many other businesses in the past.

The following are the technologies that helps farmers in managing equipments and provide instructions in the field.

Global Positioning System (GPS):

Satellite based navigation system known as GPS are used to guide tractors in the field using earth-orbiting satellites and it will track all the movements of tractors location.

The tracking device allows the hoses to distribute appropriate amount of fertilizers needed for the field.

The farmers can monitor progress with a device equipped in tractors using the application developed for mobile devices and tablet computers.

Data analytics technologies:

Big agricultural companies have gone a step further in farming with the help of data analytics tools.

These tools determine the right kind of seeds the quantity of seeds to be planted quantity of fertilizer to be added season based corps and the amount the water to be used in the field are decided.

The data generated during computerized planting are analyzed using computers and help the farmers on how to increase the output. The practice of using computerized planting is called as predictive planting.

A way predictive planting is prescriptive planting the farmer provides all the required data about the field boundaries soil conditions and historic crop yields to the company, which performs prescriptive planning method.

Data warehouse:

Data warehousing is a collection of data from multiple sources to form a centralized repository.

It is a database used for analyzing the data and for reporting the data to enhance decision making process.

Here the data about the fields crops and seeds are collected from farmers and saved in companies database.

Cloud Computing:

The companies allow farmers to use free online data storehouse to upload information regarding crop yields type of seed using and planting dates.

The companies introduced cloud-computing concept to ease pressure on them. Because the farmers feared for their data safety and there is a possibility of misusing farmers information.


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