Why We Should Use AI for Agricultural Purposes?

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Artificial intelligence (AI) is the main prospective and potential technology that supports the implementation of industry 4.0. Artificial Intelligence is made to facilitate the work and activities of human life. Some of the benefits of Artificial Intelligence in various fields include: being a medical record tool in the health field, recording customer activities in the banking sector, being used as an additional technology in games that allows players to feel a more exciting “sensation”, facilitating the field of marketing by acting as a research engine digital, as well as functioning as a fungus pest detection through drone technology.

As previously mentioned, the agricultural sector is also being affected by AI. As the world population continues to grow and land becomes more scarce, people need to be creative and think efficiently about how they farm, using less land to produce more crops and increasing the productivity and yield of those farmed acres.

AI has so many advantages to maximize any kind of harvest. The first benefit is to help the farmers to analyze data such as weather conditions, temperature, water usage or soil conditions collected from their farm to better inform their decisions. For example, AI technologies help farmers optimize planning to generate more bountiful yields by determining crop choices, the best hybrid seed choices, and resource utilization. Not only that, the harvest’s accuracy and quality will also be improved by AI technologies. AI has sensors that will detect and target weeds and then decide which herbicides to apply within the right buffer zone. The next important benefit of using AI for the future of farming is it can help to cope with the labor challenge. Nowadays, many people move to the city and rarely want to be farmers, they prefer to work in the industrial or media section. On the other side, farming faces workforce shortage because in reality they need many people to harvest crops and keep farms productive. AI can help that problem because they can do all the agriculture works just the way human does it. These bots can harvest crops at a higher volume and faster pace than human laborers, more accurately identify and eliminate weeds, and reduce costs for farms.

One application of AI in agriculture is carried out by Taranis, an agricultural technology company. Taranis presents an artificial intelligence agricultural intelligence platform. The platform uses sophisticated computer processors, data science, and in-depth learning algorithms that can assist farmers in making decisions regarding their farming processes. The platform can monitor agricultural land and detect symptoms of weeds, nutritional deficiencies, diseases or insect, water damage, and agricultural equipment problems. The use of the platform has been implemented in several countries such as America, Argentina, Ukraine, Brazil, and Russia to monitor millions of hectares of agricultural land.

Another agricultural technology-based company, Ceres Imaging, has created a technology called aerial spectral imagery to optimize plant growth by utilizing AI. The technology created by the California-based company can be used to identify problems such as mold growth and water shortages in corn and soybeans several weeks before humans can detect them manually. The way to detect this is by utilizing thermal imaging from photographs taken from several feet above the field.

The application of AI to agriculture in Indonesia has a good opportunity. The government has been open to accepting it, as evidenced by a statement from the Minister of Agriculture, Syahrul Yasil Limpo. He mentioned that the government had used satellite imagery to collect data on agricultural land and the potential for previous harvests. AI will be included to maximize agricultural technology that has been used before. In addition, the development of agricultural technology with the use of AI can also improve the welfare of farmers and attract young people to create derivative business opportunities. Some research institutions such as BPPT, LIPI, and Balitbang Kementan in collaboration with a number of universities continue to try to implement AI technology in the agricultural sector so that productivity, product quality, and farmer economic benefits are more optimal.

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