How big data affects agriculture



How will big data change agriculture?

Big data can truly revolutionize the agricultural sector only by having a cloud-based ecosystem with the right tools and software to integrate various data sources. These tools should be able to consolidate data on climate, agronomy, water, farm equipment, supply chain, weeds, nutrients, and so much more to aid the farmer make decisions.

What is the role of big data in agriculture?

Top 4 use cases for big data on the farm

  1. Feeding a growing population. This is one of the key challenges that even governments are putting their heads together to solve. …
  2. Using pesticides ethically. Administration of pesticides has been a contentious issue due to its side effects on the ecosystem. …
  3. Optimizing farm equipment. …
  4. Managing supply chain issues. …

What is AG big data?

When it comes to the year-to-date metrics, the WISeKey International Holding AG (WKEY) recorded performance in the market was -43.44%, having the revenues showcasing -35.32% on a quarterly basis in comparison with the same period year before.

How can we use data analytics in agriculture?

The opportunities of big data agriculture cannot omit

  • Increase farming productivity. Big data analytics in agriculture has already shown great results in forecasting crop production and improving crop yields.
  • Improve farming operations. …
  • Stop migration of the labor force. …
  • Reduce food waste. …
  • Attract greater investments in AgriTech. …

How does big data help in agriculture?

Big data provides farmers granular data on rainfall patterns, water cycles, fertilizer requirements, and more. This enables them to make smart decisions, such as what crops to plant for better profitability and when to harvest. The right decisions ultimately improve farm yields.

How does the Internet of Things affect agriculture?

With IoT, companies can enjoy benefits like better crop productivity and improved worker safety. They can use less fertilizer, water and pesticides. Because farmers can decrease the fertilizers and pesticides they use, there is less runoff into groundwater and rivers. This results in a lower impact on the ecosystem.

What impact do large companies have on agriculture?

How does corporate power affect farmers? Unchecked corporate power distorts markets and leaves farmers and ranchers vulnerable to abuse and unfair practices. Because farmers rely on both buyers and sellers for their business, concentrated markets squeeze them at both ends.

How does the media affect agriculture?

Our empirical results are consistent with the theoretical hypotheses that public support for agriculture is affected by the mass media. In particular, an increase in media penetration is correlated with a reduction in agricultural taxation in poor countries and a reduction in agricultural subsidies in rich countries.

What are the challenges of IoT in agriculture?

The biggest challenges faced by IoT in the agricultural sector are lack of information, high adoption costs, and security concerns, etc. Most of the farmers are not aware of the implementation of IoT in agriculture.

What are the negative effects of IoT in agriculture?

If IoT solutions are in place, remote hackers can seize control of applications. If a hacker were to gain control of a pesticide dispersal system, for example, it could prove disastrous. Theoretically, they could spray more chemicals than needed, poisoning or killing crops.

What new technology impacted the growth of industry and agriculture?

Industrial Automation This technological advancement in agriculture has allowed farmers to increase yields of agricultural produce by increasing efficiency on farmlands. They can now use drones to map crops, monitor crop growth, and improve irrigation systems.

What is a known problem associated with industrial agriculture?

Industrial farming is bad for the health of workers, eaters, and downstream neighbors. Here are some of its costly health impacts: Pesticide toxicity. Herbicides and insecticides commonly used in agriculture have been associated with both acute poisoning and long-term chronic illness.

How does market affect farming?

If the market price is high, the interest of producers for a certain product or service will increase. In other words, the supply will increase. Also, if the market price is low, the interest of consumers increases, which means that demand increases.

How does social media affect agriculture?

Social media also provides growers with a quick and easy way to build relationships and interact with people in agriculture. Social media creates a much broader agriculture community, so obstacles like physical distance and isolation are issues of the past. Agriculture and social media fit together.

How does social media benefit agriculture?

Nowadays, social media is an important marketing resource for farmers to use to connect to their customers and create a community — which brings their farm to the public eye and ultimately leads to a more successful business.

How social media Helps agriculture?

Social media will also allow Ag businesses to see any current news regarding their audience and other farmers which could give them a competitive edge they previously didn’t have. Since the growth of social media in AG, audiences have been interacting more and displaying their curiosity in the industry.

What is SMAG data?

Using a tool to help process the vast amount of stored and accumulated data, SMAG developed a complex agronomic Data Crop algorithm, allowing for the use of different types of data to optimize decision-making. For example, Data Crop enables users to track the progress of crops over the year and predict yields — a data point that has led to incredible wheat production results. Currently, 80% of French agricultural land under wheat cultivation is managed through Data Crop. SMAG plans to expand this to other crops and countries as well.

Why is big data important?

Big data provides farmers granular data on rainfall patterns, water cycles, fertilizer requirements, and more. This enables them to make smart decisions, such as what crops to plant for better profitability and when to harvest. The right decisions ultimately improve farm yields.

What is Invivo software?

SMAG, its subsidiary, is the French leader in agronomic information systems. Its software is used by 80% of cooperatives and 50% of merchants in France.

What is SMAG’s objective?

Their objective: use digitization to solve the food challenges of the 21st century.

What is DTN in agriculture?

Digital Transmission Network (DTN), a division of Schneider Electric, provides agricultural information solutions and market intelligence to its customers. Using DTN, farmers and commodity traders can access up-to-date weather and pricing data to better manage their business.

How can big data help agriculture?

How big data can help agriculture. To counter the pressures of increasing food demand and climate changes, policymakers and industry leaders are seeking assistance from technology forces such as IoT, big data, analytics, and cloud computing. IoT devices help in the first phase of this process — data collection.

How can big data make a difference?

Let’s take a look at a few use cases where big data can make a difference. 1. Feeding a growing population. This is one of the key challenges that even governments are putting their heads together to solve. One way to achieve this is to increase the yield from existing farmlands.

How Big Data Is Making Big Changes to Agriculture

Big data is a popular buzzword that refers to the massive amount of collected information during day-to-day business operations. Depending on the industry, this could be anything from crop yields to patient demographics and everything in between. How could the utilization of big data change the agriculture industry?

Drone Patrol

Monitoring hundreds of acres of crops can be a backbreaking job, requiring dozens of people willing to walk or drive the length and breadth of the fields to check for things like pests and disease. A drone fleet could do the same work while being managed by one or two people.

Nutrient Management

Collecting information about the levels of nutrients in the soil is a major part of farming, whether it’s on a small or large scale. By collecting large amounts of information, it is easy to determine what fields need to be rotated or have fertilizer or nutrients applied to ensure optimum growth.

Crop Predictions

By studying the yield from previous years and applying big data, it becomes possible to predict with a relatively high degree of accuracy which crops will produce the highest yield for a given year or a given field.

Supply Chain

Big data is already being applied to supply chains in a variety of industries. When it comes to agriculture, everything from supply sources for the crops — for seeds, fertilizer, herbicides, pesticides, etc. — to the final delivery to grocery stores is part of the supply chain. And all this data is collectible.


While we can control just about every variable that comes with farming, the weather will always vary to some extent (outside of understanding seasonal weather patterns). Hot summers require more irrigation, while damp months could result in mildew or mold growth on crops that need to be addressed.

What is big data?

When a question arises what is big data, it is a collection of large, complex, and unprocessed data is called ‘big data’. Due to complexity, big data cannot be processed by conventional data processing and data management applications and requires advanced tools that can analyze and process large volumes of data. Big data is characterized by some unique features – volume, variety, velocity, variability, veracity, and complexity. This vast reservoir of information must be studied, stored, and processed systematically for its applications in the public sector, scientific research, agriculture, industry, etc.

What is a successful business model?

A successful business model calls for sustainable integration of data from all sources, which is often a Herculean task.

What is the role of stakeholders in big data?

The organization of the stakeholders determines the infrastructure of big data solutions – either proprietary or an open-source system. The development of big data applications in agriculture will result in either the farmers becoming franchisers in integrated long supply chains or a scenario in which farmers collaborate with suppliers and the government to engage in short supply chains.

What are the primary sources of data?

Primary sources of data include operations, transactions, and images and videos capture d by sensors and robots. However, extracting the full potential of this data repertoire lies in efficient analytics. The development of applications related to risk management, sensor deployment, predictive modeling, and benchmarking, has been possible due to big data.

What is food safety?

Food safety – Collection of data relating to temperature, humidity, and chemicals, lowers the risk of food spoilage by early detection of microbes and other contaminants.

What are the issues that are being addressed by big data applications in agriculture?

Sustainability, global food security, safety, and improved efficiency are some of the critical issues that are being addressed by big data applications in agriculture. Undoubtedly, these global issues have extended the scope of big data beyond farming and now cover the entire food supply chain. With the development of the Internet of Things, various components of agriculture and the supply chain are wirelessly connected, generating data that is accessible in real-time.

What is big data in agriculture?

Big data in agriculture. Big data applications in agriculture are a combination of technology and analytics. It entails the collection, compilation, and timely processing of new data to help scientists and farmers make better and more informed decisions. Farming processes are increasingly becoming data-enabled and data-driven, …

1. Accurate crop predictions

Waiting to see how the crops turn out has been driving men to drink since… well, since we’ve had alcohol to drink. We’ve tried everything from the rain dance to solemn prayer, but crop predictions throughout the years have been anything but accurate, until now.

2. Stronger seeds and less hunger

Earlier this year the UN announced that we’re facing the greatest humanitarian threat since the Nazi’s, and no, it’s not ISIS. An increasing global population combined with rising temperatures has led to a massive famine in Africa which has left 20 million people at risk of starvation.

3. Automated agriculture

Automated farming or precision agriculture is nothing new. For decades we’ve been using different systems to automate and keep track of as many agricultural processes as possible. In many ways, data analytics was what separated commercial farmers from the pack long before big data was even a term.

4. Environmental awareness

Like I mentioned earlier, we may not acknowledge it often, but big data is the reason we can say with certainty that humans have had a negative impact on the environment, and it’s the tool we’re using to fix it.

Big Data in agriculture: How to make it work?

Farmers need to be able to constantly monitor key parameters that directly impact yield and profits. Technologies such as wireless sensors and variable rate technologies will help farmers track key agricultural parameters including temperature, weather, nitrate content, soil quality, plant health, weed, pest detection, etc.

Big Data development: How to make it work for your agritech business case

First of all, it is important to come up with clear KPIs and estimate Return On Investment.

Challenges of big data development in agriculture

Clean, valid, complete data is the key to successful big data in agriculture as any discrepancies in the dataset may cause misleading results and affect your operational decisions.

Why choose N-iX for big data in agriculture

We have over 18 years of experience in remote work and management of distributed teams and have built long-term partnerships (5+ years) with companies such as Gogo, Lebara, Anoto, Currencycloud, and others.

About N-iX

N-iX is an Eastern European software development service company that helps businesses across the globe expand their engineering capabilities and develop successful software products.


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