Technology in Agriculture to Increase Productivity

Some of the technological tools that will be used in the coming years to increase agricultural productivity include the use of devices connected to the Internet that can create self-regulating microclimates in greenhouses and crop monitoring through aerial images.

Thursday, April 22, 2021

Business Intelligence solutions used by agricultural companies have the ability to transform maps and images into structured data that can be used for decision making. In the case of satellite images, they make it possible to estimate the productive capacity of a certain area dedicated to agricultural production.

Currently, high-tech solutions are already being used to improve agricultural productivity, such as sensors in the field to obtain details of the topography and resources, connectivity with your phones to monitor equipment and crops or livestock, drones for supervision and tasks such as spraying (between 40 and 60 times faster than a manual process), among others.

See "Business Intelligence: Data as Maps"

A publication explains that "... John Deere, a leading agricultural equipment company, has already begun connecting its tractors to the Internet and created a method for displaying product yield data. In addition, the company is making inroads into autonomous tractors, which would free up farmers' time for other tasks. These technologies allow the industry to better monitor and record data to improve production while minimizing costs and saving resources."

In order to meet the demand that will represent the population increase, which in 2050 will reach 9.7 billion people worldwide, solutions based on the Internet of Things (IoT) that enable productivity increases are essential in the agricultural sector.

You may be interested in "Big Data and Agriculture"

The development of smart greenhouses is already a reality, because by "... taking advantage of IoT and connected devices to create self-regulating microclimates conducive to production, these controlled environments avoid harsh weather conditions, while delivering real-time information to farmers, which they can use for tasks such as spraying, irrigation, lighting, temperature, humidity and others."

Experts in the field anticipate that while smart and precision agriculture is gaining popularity in the sector, it may only be a precursor to further technification.

The publication adds that "... the emergence of the block chain is also relevant, thanks to its ability to provide important information on crops through sensors, according to their traceability based on factors such as salt content, sugar or pH levels, for example. Insider Intelligence projects that there will be 12 million agricultural sensors installed globally by 2022. IBM estimates that the average farm can generate half a million records per day, which can help the industry improve yields and increase profits".

Do you need Business Intelligence solutions for the agricultural sector? Contact Us

this site is protected by reCAPTCHA and Google's privacy policy and terms of service.
Need assistance? Contact us
(506) 4001-6423

More on this topic

Benefits of Geolocation and Big Data in the Agricultural Sector

August 2021

Geolocation systems and Big Data turn data into information that farmers and land managers can use to make more informed and timely decisions to increase productivity.

Sensors located in fields, tractors and on satellites high above farms are constantly collecting data.

Geolocation systems and Big Data are able to convert this data into information that agricultural companies can use to make more informed and timely decisions, increasing productivity, allowing to collect information on soil and plant needs to apply treatments that increase agricultural production, managing costly resources such as fertilizers, pesticides and herbicides.

Satellite Images for Decision Making

May 2021

With the technologies available it is possible to use satellite photos to detect types of surfaces and roofs, objects, land use and variance in farmland, and then analyze the results and transform them into useful data for business decision making.

In the past, it was possible to establish whether an area was industrial, commercial, residential or agricultural by analyzing aerial images, but today, with the use of high-resolution satellite images, more information can be obtained.

Management and Artificial Intelligence

March 2020

Having general ideas of how a computer can look at an image and identify a stop sign, a pedestrian or a car, is fundamental for business leaders to be able to empower humans with the help of artificial intelligence.

The development of artificial intelligence tools suggests that human work will be abolished, something that could be far away, since these technological applications are for now used for the execution of specific business tasks and not for problem solving.

Big Data and Agriculture

October 2019

Anticipating the effects of climate on crops and mitigating their impact is one of the benefits of using techniques to manage large volumes of information.

The agricultural industry is no stranger to the new reality focused on the analysis of large volumes of information and making business decisions based on data.

 close (x)

Receive more news about Agriculture & Food

Suscribe FOR FREE to CentralAmericaDATA EXPRESS.
The most important news of Central America, every day.

Type in your e-mail address:

* Al suscribirse, estará aceptando los terminos y condiciones

Stock Indexes

(Apr 6)
Dow Jones
S&P 500


(Sep 17)
Brent Crude Oil
Coffee "C"