6 Ways Data Science is Helping the Agriculture Sector

You might have heard of the hottest word, Data Science, everywhere. Agriculture is no exception to the fact that data scientists are a part of almost every major business. The agricultural sector benefits from data scientists in six different ways.

  1. Getting Helpful Information to Combat Food Scarcity and Support Small Farmers

Many Projects are being conducted to find out how that information might assist small-scale farmers in joining the fight to end global food shortages because data scientists can collect and analyze enormous amounts of data quickly.

A coalition started a project in September 2018 that would last until 2030 and analyze data from over 500 million farmers in underdeveloped regions from 50 different countries.

The project’s creators anticipate that the data will help create policies for farmers by demonstrating if agricultural investments made in various nations are profitable. On a bigger scale, this effort is consistent with the Sustainable Development Goals of the United Nations, which aim to reduce world hunger and double agricultural production and incomes for farmers in underdeveloped countries. To learn more about the concept, refer to the trending data science course in Chennai, facilitated by IBM. 

  1. Controlling Plant Diseases and Pests

Agricultural pests might severely impact the profitability of a farmer. Yet, improper pesticide use can harm people, plants, and other living things. Thankfully, several businesses work with data scientists to create user-facing platforms that evaluate when and how much pesticides are used.

Agrosmart is one of them; it is a Brazilian business. In order to identify the species and quantity of insects on a crop, its technology uses Internet of Things (IoT) sensors and artificial intelligence. Farmers then receive a related report, which they can use to organize their pest management strategies. It aims to assist farmers in pest control that is both economical and has a minimal negative impact on the environment.

  1. Researching Agriculture Niche

Using technologies that reveal links and patterns that could otherwise go undetected is a skill held by data scientists. By examining particular aspects, they can come to findings that advance agricultural research. For instance, experts are aware that carotenoids contribute to the improved quality and nutrition of egg yolks, while trace elements have a good impact on the metabolic processes of cattle and poultry.

These conclusions were reached after poring over databases and studies, demonstrating how seemingly insignificant elements in agricultural processes can result in significant adjustments. Brands of animal feed, farmers, and other players in the agriculture industry may benefit from using these data scientist discoveries to improve operations and yield better outcomes.

  1. Combat climate change

The impending threat of climate change has already impacted the agriculture industry. However, data scientists are working diligently to come up with solutions to make up for the shift.

One idea involves providing Internet of Things (IoT) devices to Taiwanese rice farmers so they can gather critical data about their harvests. All of this information will be entered into a database that will assist farmers in streamlining their production cycles, despite the effects of climate change making doing so extremely difficult. Climate change has made it insufficient to continue using the conventional farming calendar. But data analysis may completely alter the way farming is done in the future.

  1. Forecast yield

A bad harvest can be disastrous for farmers and all the organizations that depend on the crops. In order to prevent unpleasant surprises for agricultural professionals, IBM offers a platform that predicts maize yields two to three months in advance.

Similarly, scientists at the University of Illinois use satellite data and seasonal projections to issue end-of-season predictions sooner than usual. According to laboratory results, the US Department of Agriculture’s real-time data isn’t even as accurate as this new method.

  1. To deliver pictures of crops and landscapes

Some individuals in the agriculture sector oversee so many acres of land that it would be difficult, without technology, to receive timely updates and alerts about potential issues. A Canadian startup, Farmers Edge, collects daily satellite photographs of farms and integrates them with other pertinent data, such as data from more than 4,000 connected weather stations.

Additionally, a few nations, such as Ireland and Ghana, rely on satellite-based crop monitoring to scan areas faster than conventional techniques allow.

Data scientists are crucial to advancing the use of satellite imagery for these and other purposes. Such experts might decide which approaches are best for addressing the sector’s present and future needs through pilot projects and new platforms.

Get Started with Data scientist Now! 

Over time, agriculture has gotten more and more sophisticated. Professionals working in agriculture have far greater access to data nowadays and can utilize that data to make well-informed decisions. This reality is now and will continue to be achievable thanks to data scientists’ innovations. Grab the opportunity and enroll in online Data science training in pune

, designed in partnership with IBM. Work on multiple real-world projects and enhance your knowledge. 


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