Artificial Neural Networks in Agriculture

Artificial neural networks are one of the most important elements machine learning and artificial intelligence. They inspired by human brain structure function as if they based on interconnected nodes in which simple processing operations take place. The spectrum application is very wide, it also includes agriculture. increasingly used food producers at every stage agricultural production efficient farm management. Examples their applications include: forecasting effects agriculture basis a wide range independent variables, verification diseases pests, intelligent weed control, classification quality harvested crops. intelligence methods support decision-making systems agriculture, help optimize storage transport processes, make possible to predict costs incurred depending chosen direction inclusion “life cycle farm” requires handling large amounts data collected during entire growing season having appropriate software. Currently, visible development precision farming digital causing more farms turn tools purpose this Special Issue was publish high-quality research review papers that cover various types solving relevant tasks problems widely defined