With the help of a digital twin structure, Agriculture 4.0 technologies like weather APIs (Application programming interface), GPS (Global Positioning System) modules, and NPK (Nitrogen, Phosphorus and Potassium) soil sensors and machine learning recommendation models, we seek to revolutionize agricultural production through this concept. In addition to providing precise crop growth forecasts, the combination of real-time data on soil composition, meteorological dynamics, and geographic coordinates aims to support crop recommendation models and simulate predictive scenarios for improved water and pesticide management.

How will artificial intelligence (AI) affect EU farmers? Bernard Ader, vice president of Copa-Cogeca, the united voice of European Farmers and Agri-cooperatives, answers Future Farming's questions. "It is essential for cooperatives and their farmer-owners to clearly understand the potential benefits and risks involved." What can European farmers expect from EU policies on AI? And in which areas does AI benefit farmers?

Business Informatics researchers from the University of Hohenheim are merging this data into a digital platform as part of the project, Agriculture 4.0: Information System for Pig Farming - thus opening up the data to analysis and machine learning programmes. This will provide new insights into the efficiency of on-farm husbandry methods which will benefit swine welfare and allow advancements in sustainable pig farming. The Ministry of Rural Affairs and Consumer Protection (MLR) is supporting the project under the leadership of LSZ, awarding funding of almost 200,000 euros to the University of Hohenheim. The project could help to identify stress indicators and eliminate the causes of stress using video surveillance, data collection and machine learning. In addition, all operational standard data from the herd - including slaughter data, unit temperature, feed consumption - are incorporated into the digital platform.

Drivers 4.3.2.1 High penetration of IOT in agriculture industry 4.3.2.2 Increasing number of IOT device installation in agriculture 4.3.2.3 Decreasing price of sensors 4.3.2.4 Increase in adoption of cattle facial recognition 4.3.2.5 Impact analysis of drivers on market forecast 4.3.3

Dr. Hugh Martin, principal lecturer in agricultural science at the Royal Agricultural University, looks at how the IoT revolution is helping usher in a new age of farming Industry 4.0 is a well-known idea. Perhaps less well-known is Agriculture 4.0. Martin identifies three previous revolutions in agriculture – dating back to the introduction of one of the original pieces of farming technology in 1730 in the form of Jethro Tull's seed drill. Broadly, these three revolutions can be defined as; the introduction of mechanisation, the use of mineral fertilisers, and the industrialisation of production processes. Now, Martin believes, connectivity and data management are set to unleash the next stage.