In the era of big data, agriculture will become clean and simple

Food is the first necessity of the people. The deep integration of the internet and agriculture is driving the development of agricultural big data. In the internet era, big data analysis is enabling smart agriculture to develop more rapidly. Riding the smart agriculture express, farming will no longer be dirty, tiring, and lowly work; instead, it will become simpler and more comfortable, and profits will keep rising. The respectable, high-end "new farmer" profession is certain to be sought after.

Striking gold in agricultural big data

At present, "internet plus" has already risen to the level of a national strategy and become a new growth point for development; it is a key focus of support in both central and local policies, and also a focus of investment. In advancing mass entrepreneurship and innovation, "internet plus" is showing more vitality and higher participation, which will certainly have a profound impact on China's agricultural modernization. Internet plus lets agriculture get connected and gradually enter the era of big data. Agriculture in the new era, grounded in reality, needs to strengthen strategic planning and solidly advance "internet plus" modern agriculture, providing new momentum for agriculture's leapfrog development.

At present, "internet plus" has gone from an emerging concept to a ubiquitous practice, and "internet plus" modern agriculture faces unprecedented opportunities. The so-called "internet plus" modern agriculture means making full use of mobile internet, big data, cloud computing, the Internet of Things, and other new-generation information technologies in cross-sector integration with agriculture, innovating new internet-platform-based agricultural products, models, and business forms. We must fully understand the important significance of advancing "internet plus" modern agriculture under the new normal. As for internet plus agriculture, different places also differ; in advancing internet plus agriculture, all places should firmly grasp development opportunities, clearly recognize the importance and urgency of advancing internet agriculture work, act proactively, and solidly promote the accelerated development of "internet plus" modern agriculture, with notable results.

⟦NL> With the arrival of the era of big data, for the agricultural industry it is both an opportunity and a challenge. Agriculture and big data are closely linked, and big data can help drive agriculture toward informatization, refinement, and systematization, thereby achieving leapfrog development in agriculture.

The internet changes "industries"

Since the commercialization of the internet in the mid-1990s, the internet has centered on end users and taken consumption as its main thread, rapidly penetrating into every area of people's lives, including entertainment, consumption, travel, and learning. With the spread of smart terminals and the acquisition of back-end cloud computing and big data capabilities, the internet has gone from changing individual consumer behavior to changing various industries, governments, and even society. In the era of the industrial internet, data is surging at the PB level, and its core is the collection, transmission, storage, analysis, and maintenance of new and existing big data resources.

In the future, every industry will gradually be changed by the internet. Just as people needed knowledge and intelligence during the Industrial Revolution, in the future enterprises will need an enterprise "IQ," and an enterprise's "IQ" is the ability to continuously obtain data across the entire internet and then process and refine it through that data. Take agricultural enterprises as an example, such as agricultural product logistics enterprises (agricultural product companies), breeding service enterprises (Dabeinong Group), and so on. Enterprises like these that control producer resources in the industry chain can, in addition to providing products and services to producers offline, also use the (mobile) internet to realize multiple functions such as information platforms, financing platforms, and trading platforms, further strengthening their control over the industry chain.

Big data becomes a corporate gold mine

Big data will become a corporate gold mine. The new winners in the era of the industrial internet should be "the people who own the gold mine" (those who collect data) and "the people who know how to smelt gold bricks" (those who know how to use data). It can be said that in the era of big data, data assets have already become a core resource. At present, big data institutions can be divided into three types. First, internet companies that have both data and big data thinking, such as Alibaba, Tencent, JD.com, Google, Amazon, and others, which have accumulated large amounts of data resources on the internet side, and such companies started out in IT, have an innate keen sense for big data, and have relatively mature big data technology. Therefore, internet companies can be described as the earliest institutions to use big data and have become pioneers in big data applications. Second, traditional software companies transforming toward the internet and providing services to users through the SaaS model, such as UFIDA Software launching Chanjet, providing financial management applications to small and micro enterprises in a cloud model, which can also be regarded as a model with both data and big data thinking. Third, institutions that have data but lack big data thinking. Such institutions hold large amounts of data in their hands but do not have the ability to use it effectively themselves, such as financial institutions, operators, government departments, and so on.

The key to whether big data applications are good or bad, besides the data itself, also lies in big data technology. Big data technology includes data collection, data access, infrastructure, data processing, statistical analysis, data mining, model prediction, result presentation, and other links, involving an extremely wide range of technical links. As the volume of data increases and the degree of data complexity rises, big data technology itself is also in a process of rapid iterative development. It is worth mentioning that an important factor in bringing big data technology to the ground is how to achieve the integration of technology and business, which behind it requires deep business understanding. For internet companies that have both data and big data thinking, technology and business themselves drive each other and develop together. For institutions that have data but lack big data thinking, application software providers that have deeply cultivated the industry for many years are the best choice.

For institutions that hold large amounts of data in their hands but do not have the ability to monetize it, professional third-party companies are needed to provide big data services, mainly various IT consulting institutions and industry application software vendors, especially industry application software vendors, which have a natural positional advantage in their respective fields: software companies provide industry application software and related operation and maintenance. Industry application software itself is an important source of data. Software companies are institutions that do not own data but can access data, and naturally have big data thinking and big data technology, as well as good industry customer relationships. Extending from information system construction to big data operations is a natural progression. Therefore, application software providers in various segmented industries are expected to become important partners of traditional data-holding institutions, helping them explore the monetization of big data value.