FROM TRADITIONAL AGRICULTURE TO DIGITAL AGRICULTURE (AGRICULTURE 5.0) - TREND, CHANGES, IMPORTANCE PUBLISHEDGeorge TOADER, Daniela TRIFAN, Luxița RÎȘNOVEANU, Cătălin-Ionuț ENEA, Alin-Ionel GHIORGHE, Emanuela LUNGU, Viorica CHIURCIU, Paul CHIȚONU, Luca LAZĂR, Leonard ILIE University of Agronomic Sciences and Veterinary Medicine of Bucharest (USAMV) email@example.com
The information that agricultural crops provide to farmers (production, degree of pest attack, soil water reserve, soil nutrient reserve pH, etc.) proves to be valuable information for farmers, the decisions that will be taken later analysis of this information being beneficial, advantageous and profitable for farmers. The implementation of new agricultural technologies and systematic data management have led to the emergence of the typology of "smart farm", a farm that will grow and become profitable as more data is collected, data that will be key elements in modern agriculture. Based on these data, agricultural producers (regardless of the branch of agriculture) will be able to make decisions so that the farm can make a profit. The advantages of obtaining large productions, of a high profit derive from the interpretation of the data obtained from the innovative technologies that more and more farmers implement in their farms, technologies such as sensors, drones, bet-bots, robots, etc. Data from agricultural crops obtained from the implementation of new, non-invasive technologies with the environment will increase crop efficiency, soil resources, reduce pollution of the environment and agricultural ecosystems and obtain healthy crops for humans and animals. The present paper aims to present a new type of farm, a technological farm, inside which any process will be monitored with the help of state-of-the-art technologies. The implementation and use of these new technologies on farms, data collection and interpretation is a crucial step for the farmer as well as a benefit by which farmers reduce farm costs, protect the environment, know exactly what parameters have crops and any disturbance of the agricultural ecosystem produced by pathogens, pedo-climatic factors, etc. The final aim of this paper is to present some of the technologies used by farmers to assess agricultural ecosystems, based on data obtained from crops, making decisions based on these data (after their interpretation), implementing a sustainable process of making of decisions and execution of tasks with the help of technological equipment available on the farm.
emerging agricultural technologies, artificial intelligence, agricultural robotics, automated agricultural production systems
Biology applied in Agriculture