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Name Surname : Babak Nobari
Title : Doctor of Animal Science.
Postion : Senior Nutritionist, Ridley Corp, Australia
Senior Animal Nutritionist with a demonstrated history of working in the field of feed and feed additives industry. Expert in diet formulation for equine, ruminants as well as poultry using different diet formulation models and systems, animal nutrition R&D activities, advanced user of diet formulation software packages, application of technology in practical animal nutrition, innovative product design, technical support, and management. Strong communication skills and on-farm practical experience with a solid fundamental academic and scientific knowledge focused in Animal Nutrition (over 15 published paper in highly regarded ISI journal such as Dairy Science, Livestock Science, Animal Physiology and Animal Nutrition and etc) from Atatürk Üniversity (Turkey, Post-Doc Scholarship winner).
Dr Babak Nobari, PhD, MSc, Bsc Senior animal nutritionist at Department of nutrition and technical Ridley Agriproducts, Australia Based on the last food supply and consumption updates published by the UN Food and Agriculture Organization (FAO) in 2021, nearly 10 percent of the world population suffered from hunger in 2020, compared to 8.4 percent in 2019. The report estimated that 720 and 811 million people went hungry in 2020. The increased demand for food and animal-originated proteins in line with interactions among an array of social, environmental, political, demographic, and societal factors puts our responsible farming and animal production systems in focus. Pandemics like Covid-19 demonstrated that food supply and security for human societies need bold actions and tools. Precision Livestock Farming (PLF) represents a breakthrough in animal production and is one of the most promising approaches to promote environmentally sustainable, safe and high-quality animal source proteins, high animal welfare, and profitable farming. PLF approaches and their infrastructures support Smart Livestock Feeding (SLF) as a logical result. In most farming systems, feed costs can account for up to 70% of the total cost of production of an animal product, and the application of smart livestock feeding ensures that an individual animal or a group of animals receive their optimum required nutrients in real-time. The integrity of data collection from feed ingredients nutrient matrix and cost sets besides farm and animal input data like body weight, feed intake (dry matter intake), body condition score (BSC), average daily gain (ADG), milk and milk component production, physical activity, barn ventilation, temperature, pasture growth and availability, stocking and browsing rates enable animal nutritionist to formulate required least-cost diets for optimised nutrients supply with minimum environmental impact (nutrients excretion and carbon emission). Deep understanding of animal production systems, years of experience in the practical field of animal breeding, data processing and computing, machine learning and artificial intelligence engineering make Er-Gen and its founders, Prof. Dr Ebru Emsen and Dr Bahadir Odevci, your reliable consultant and business partners in making your animal production and farming business smart, profitable and vigilant.
Dr Babak Nobari Melbourne, Australia