The technological revolution has also knocked on the doors of the agriculture sector with the introduction of Big Data. The collection and analysis process of Big Data not only plays a vital role in boosting the productivity of individual farms but also proves helpful in removing the risk of a global food crisis. Big Data can act as a real game changer for the agriculture sector.
Today, there is a need to produce more food to feed the growing population while using less land for it. However, the government is confronted with challenges due to changing climate and environmental issues that have a direct impact on food production. To accomplish this food production target, policymakers and industry leaders are taking support from technological innovations such as Big Data, Cloud Computing, IoT, etc. These technological advancements prove highly beneficial in improving operations and boosting productivity.
The role of Big Data in the Agriculture industry
Big data in the agriculture industry is completely based on using technology, information, and analytics to bring useful information to farmers. Big data can be utilized for grabbing information about the agriculture industry or it can prove beneficial for any specific segment or area to improve its efficiency. Data mining processes are utilized by Big Data to create such vital information. With this methodology, you can find the important patterns in a huge set of data and condense this information into useful forms. There are different modern systems, such as artificial intelligence, machine learning statistics, and more, that are used in the big data mechanism.
Key challenges of implementing Big Data in the agriculture sector
- Generating qualitative data is one of the key concerns in farm management information systems. Big Data in real-time can work little to alleviate this problem.
- The huge amount of unstructured and heterogeneous data required professional domain experts and data scientists
- The developing countries are facing difficulties in developing affordable solutions for farmers.
- Sustainable integration of data from various sources is required for a successful business but it is one of the Herculean tasks.
The Impact of Big Data on the Agriculture industry
With smart farming and precision agriculture practices, farmers will not only save costs but also grab new business opportunities. Here in this blog, we are talking about how Big Data impacts the different areas of agribusiness.
The introduction of Big Data helps in boosting the agricultural supply chain’s efficiency by providing effective tracking and optimization options for delivery truck routes. This makes the food delivery cycle convenient to track from producer to market. It makes sure that food will not go to waste in the process. With this, farmers get real-time information about their products, whereas retailers and distributors also get the correct information regarding current market trends to improve their offerings. In short, Big Data in the agriculture industry helps companies to optimize their food delivery systems, save time on transportation, and be able to maintain the right production volume.
Meet Customer Food Demand
Using the existing farmland in an efficient way is the best way to satisfy the growing demand for food. But the thing is, how does big data assist in it? Farmers use Big Data to get information on changing weather, rainfall, fertilizer usage, rainfall, and other factors that impact the crop yield. All of this information assists farmers in making accurate and dependable decisions that maximize their productivity from cultivating the land.
Pesticides and Fertilizer
In modern farming, chemicals are utilized to protect and support crops. But, pesticides and fertilizers can also have a dangerous impact on soil and plants if they are not properly used. Big Data assists farmers in making informed decisions about which pesticides to use, when and where. With this type of monitoring, farmers can avoid the overuse of chemicals. Also, it benefits by boosting farmers’ profits by saving their expense of buying unnecessary pesticides.
Yield prediction is defined as a technology and algorithms utilized for collating and analyzing information on weather, chemicals, vegetation, and more to make the right decision for growers. Sensors are used for data collection, which reduces the burden of manual work and offers better insight into yield prediction.
When high technology is used in agriculture, it automatically improves the farm and its resources. This will directly impact the costs incurred by the farmers. Big data improves efficiency, which saves farmers money as well as helps them boost their vital processes.
Food-related diseases and illnesses are the main concerns that affect millions of people each year. Modern farming allows farmers to detect microbes and signs of contamination instantly. It can be done by data collection on humidity, temperature, and chemical usage that impact growing plant health.
The introduction of Big Data Analytics has influenced the key sectors of the economy and continues to do it. The implementation of Big Data in the agriculture industry is in its early stages but prove beneficial in addressing the key concerns. To reap the complete benefits of Big Data, farmers and stakeholders should come together to develop and adopt new crop management techniques which are data-driven and data-enabled.
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