We are not aware of any concrete examples of AI already being used in farming practice, but the introduction of artificial intelligence provides the power to process huge amounts of data, pooling, and exchanging information with multiple data sources. It also provides decision support systems for complex choices that farmers and their cooperatives need to make. This gives farmers and their cooperatives a powerful tool to yield significant gains in terms of efficiency and productivity. It will be key to handle essential repetitive and diverse agricultural tasks such as weeding, harvesting crops, or milking cows. The same goes for the processing facilities for packaging logistics handled by our cooperatives. Artificial Intelligence also has a positive impact on working conditions, as it helps optimise the labour process and helps in accompanying farmers which can be significant for our sector. The same thing goes for farm and enterprises safety. We see that artificial intelligence can also support us in overcoming these huge problems. Additionally, AI can support us in tackling environmental and climatic challenges, especially in reducing the impact on the environment, reducing our carbon-footprint, and improving the functioning of the value chain. Agri-food cooperatives increasingly face the challenge of sustainable production. We are investing to improve the scope of innovations, preserve the integrity of the ecosystem, and improve the use of natural resources.

In its 4 year existence the Israeli start-up Taranis has seen huge growth. Taranis started as a tool to provide farmers with the information to detect and prevent crop disease, weeds and insect damage based on weather forecasts gathered from aerial surveillance. The technology was then further developed by adding visual layers from satellites, planes and drones and leveraged with AI capabilities. Taranis also created a one-of-a-kind, patented hardware that can capture accurate images at a high resolution from a plane flying at 160 km/h, such as a specific insect on a leaf from 200 feet above ground. Taranis CEO Ofir Schlam says the future of the precision farming industry is looking bright, with thousands of start-ups emerging within the last 10 years. According to him, smart farming is projected to create a massive impact on the agricultural economy in the near future and will be dependent on precision technologies, such as the adoption of automated practices and indoor urbanised farming.

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People without any knowledge can use artificial intelligence (AI) to produce more profitable cucumbers than the most experienced growers. This was shown in an experiment that Wageningen University & Research (WUR) in the Netherlands conducted last year in a greenhouse complex at their experimental farm in Bleiswijk. WUR researcher Isabella Righini cited this research at the Global Future Farming Summit, which was held in Wageningen recently. Experts there focused on precision agriculture and the robotisation of food production. Righini: "Producing food requires a lot from the grower. He must deal with the supply of raw materials, such as minerals for his crops. He must take care of the crops. And he has to market his crops. That is a complex operation. In the Autonomous Greenhouse project we are testing to what extent artificial intelligence can help growers grow crops."

Last summer, the Dutch national television made a small report on a large organic arable farm on the young sea clay in the province of Flevoland. Men and women were working in organic parsley, which was due to be harvested mechanically the next day. It still had to be manually stripped of weeds, such as polygonum. The question was whether field robots are already capable of taking over this unpleasant and labour-intensive (i.e. The farm's owner shares his thoughts about a robot taking over these chores in his fields in front of the camera.

Valley Insights is the result of the partnership between Valley Irrigation and Prospera, which was announced earlier this year. According to Valley Irrigation, the Valley Insights limited release "has demonstrated successful results this growing season, turning data into useful, actionable information for growers in Washington and Nebraska. The service has exceeded expectations by already reaching its targeted goal of one million acres by 2020." We are gaining traction with the initial launch of Valley Insights. The partnership between Valley and Prospera has exceeded expectations by already reaching its targeted goal of one million acres by 2020.

Agriculture is seeing rapid adoption of Artificial Intelligence (AI) and Machine Learning (ML), both in terms of agricultural products and in-field farming techniques. According to research company MarketsandMarkets, the AI in agriculture market was valued at USD 600 million in 2018 and is expected to reach USD 2.6 billion by 2025, at a CAGR of 22.5% during the forecast period. The report states that cognitive computing in particular is all set to become the most disruptive technology in agriculture services as it can understand, learn, and respond to different situations (based on learning) to increase efficiency. According to Apurva Agarwal, Associate Director, Electronics and Semiconductor, MarketsandMarkets "The combination of the Internet of Things (IoT) and artificial intelligence technologies, such as machine learning, computer vision, and predictive analytics, allow farmers to analyse real-time data of weather conditions, temperature, soil moisture, plant health, and crop prices in real time." Weather tracking and forecasting are important applications of AI in agriculture as it facilitates gathering up-to-date information of prevailing weather conditions such as temperature, rain, wind speed and direction, and solar radiation.