Big data in agriculture can be described as a combination of farming technology and analytics for faster and more effective information collection and processing to assist farmers with making the right decisions. Utilizing the possibilities big data offers, growers contribute to the overall shift of agriculture to precision and sustainability.
Big data allows for capturing relevant and accurate information from a variety of different sources to improve farm management practices. Real-time remote data aids farmers in performance optimization through enabling VRA approach implementation, weather threats prediction, plants and soil health monitoring, and much more. To achieve this, big data utilizes advanced algorithms to unlock invaluable insights on what goes on a farm.
This knowledge is critical for farmers when identifying the amount of water needed for irrigation and where, crops state, weather threats, weeds, pest infestations and more. Ultimately, big data analysis lessens the need for human labor via enabling remote monitoring and management of different processes and farm activities.
Globally, big data is an instrument that makes it possible to preserve natural resources thanks to precision, and increase yields and meet food demands, which is crucial due to the continuous growth of the world population.
To ease the road to experiencing the benefits of big data for farming, the market offers a variety of online instruments for different purposes and agricultural industry players. It could be a tool for crop advisors, insurance companies, seed suppliers, agricultural cooperatives, and small farmers. Now, let’s go into more detail on how it works and see exactly how big data assists the agricultural industry.
Ways Big Data Boosts Agricultural Growth
Here are the main opportunities the power of big data unlocks for agronomists.
Productivity Increase
Due to the constant growth of global food demand that will only increase in the next decades, agricultural producers will have to harness big data opportunities for improving farms’ productivity to feed the growing world population. Such big data instruments as ground sensors, GPS-equipped vehicles, and external data sources like local weather stations enable growers to implement precision agriculture and have a strong hold of all the operations occurring on the farm. Primarily, it implies accurate resources management (seed, fertilizer, pesticides, and water). This means that the farmers will be able to cut costs on production while receiving the same or even higher yields and preserving the environment. All of that is thanks to invaluable data that can be collected and analyzed for smart decision-making, allowing for increased productivity not at the expense of lowering yield or expanding the farmland area.
Crop and Yield Forecasting
Big data technologies have significantly increased the amount of information modern farmers possess for enhancing the efficiency of agricultural production. But what’s even more important than collecting and analyzing data is the ability to pull out the most important insights from it. The large number of variables affecting crop yield creates a wide range of possibilities for interpretation. This includes data on crop health, growth uniformity, stage of growth, etc.
Having all of this data automatically collected and analyzed in one online tool enables farmers to make the most accurate predictions on crop yields. Such tools can use different algorithms for assessing the yield potential taking into account weather conditions, historical yield data, and other necessary information. Based on yield forecasts, farmers can timely perform field activities to impact it, plan its storage and sales. Ultimately, yield prediction enables growers to decide which crop to plant, where, and when, based on the accurate analysis of historical and current data.
Environmental Conditions Monitoring
Environmental threats and global climate change have a huge impact on the agricultural sphere. Luckily, modern data-based farming can aid farmers to navigate through environmental changes and threats to detect them beforehand and mitigate their impact on agricultural productivity.
Integrating precision farming practices on their farm, growers can constantly monitor their crop health, weather conditions, and more to manage resources and plan activities accordingly, alleviating the effects of any adverse events on production.
Apart from that, precision agriculture also contributes to the reduction of greenhouse gas emissions. That is possible thanks to precise nutrients and water management based on the VRA (Variable Rate Application) approach. The approach implies the use of fertilizer, pesticide, and water only when and where necessary, relying on accurate and reliable field data.
Building and Maximizing Competitive Advantage
Big data has proven to play a critical part in building competitive advantage long ago and is now a key asset for businesses looking for their strengths. The main benefits big data offers farmers when building competitive advantages are fast and valuable insights and the ability to use these insights for developing and adapting products that meet changing customer demands. Those who neglect thorough analytics will undeniably stay behind on the market race.
Data has grown to be a crucial global commodity in the 21st century. Now it is much more than just information: in the hands of an agricultural expert, it’s intelligence, although artificial. Reasonable and efficient use of big data in the near future will become one of the most important tools for ensuring food security, economic prosperity, and attracting investment to the agricultural industry.
