How Big Data is Revolutionizing the Agricultural Sector

The use of big data revolutionizes agricultural practices, opening up new opportunities to assist farmers in their fight against food crisis.

FREMONT, CA: The technological revolution that is presently taking place in the agricultural industry has been made possible, among other things, by big data. Big data collection and analysis can enhance farm productivity and help mitigate a global food crisis.

The importance of this stems from the increasing need to produce more food while utilizing less land. To accomplish this objective, policymakers and industry leaders rely on technological innovations such as big data, IoT, analytics, and cloud computing.

Big Data in the Modern World

It's difficult to imagine modern life without data. Data is being produced and used at an increasing rate worldwide. Having the ability to analyze and manage big data is critical for the successful operation of an agricultural business.

Agribusinesses are becoming more extensive and diverse, resulting in increasing volumes of complex data that must be managed continuously. External data available in social media, supplier network channels, and sensor or machine data from the field are included. This results in a transformation of the agricultural sector, which opens up new possibilities.

Practical Application of Big Data in Agriculture

Smart farming and precision agriculture practices help farmers save money while also opening up new business prospects. Here are the main advantages of using big data in agribusiness.

Pesticides use optimization

Pesticide use is regarded as a problem due to the adverse effects it has on the environment. Big data provides smart and precise pesticide application opportunities, allowing farmers to make more informed decisions about which pesticides to apply, when, and where. This type of monitoring assists food producers in avoiding the overuse of chemicals. It increases farmer profits by reducing the use of unnecessary pesticides.

Farm equipment management

Remote management of agricultural machinery aids in cost reduction for large farms. Farmers can remotely monitor their machinery in the field due to big data applications that can process and analyze streams of data recovered by various sensors ranging from satellites to farming equipment. It allows them to eliminate every unnecessary route, resulting in significant fuel savings.

Supply chain problems management

Big data enables supply chain efficiency by providing monitoring and optimization opportunities for delivery truck routes. As a result, food delivery cycles from producer to market have become significantly shorter, guaranteeing that no food is wasted in the process.