The Application of Artificial Intelligence in Agriculture

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Due to the rapid increase in the current population, the problem of shortage of food will raise soon. At present, many companies have applied artificial intelligence (AI) technology to agriculture to increase agricultural production efficiency.

Resson, Inc. of San Jose, Canada, develops an image recognition system that is more accurate than the human eye to distinguish and detect plant diseases and pests. Resson and McCain Foods have partnered to apply this technology to potato production online to reduce the losses in the process of potato production.

The new Orbital Insights, Gro Intelligence and Tellus Labs companies develop predictive software by using weather information, satellite imagery, and historical production data. According to Tellus Labs, using this forecasting software could be one month earlier than the USDA report and learn about the daily output of agricultural products during the growing season.

The most successful case for combining AI with agricultural machinery is Blue River Technologies (BRT), a Sunnyvale, Calif.-based company that uses the See and Spray system to effectively eliminate weeds in cotton fields. Using AI to analyze high-resolution images to identify the type and location of weeds, accurately spray herbicide, and effectively reduce the usage of 90% herbicides.

The use of AI in agriculture has achieved initial success. In the future, farmers and people from all walks of life will continue to provide field crop data and establish a complete agricultural big data database. With using AI technology, we will have more breakthroughs in improving crop varieties, increasing production efficiency and yield in the near future.

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