{"id":4465,"date":"2018-07-20T14:22:07","date_gmt":"2018-07-20T13:22:07","guid":{"rendered":"https:\/\/lcas.lincoln.ac.uk\/wp\/?p=4465"},"modified":"2018-07-20T14:23:27","modified_gmt":"2018-07-20T13:23:27","slug":"funded-phd-project-the-augmented-agronomist-synthesis-of-ai-ml-and-robotics-to-assist-decision-support","status":"publish","type":"post","link":"https:\/\/lcas.lincoln.ac.uk\/wp\/funded-phd-project-the-augmented-agronomist-synthesis-of-ai-ml-and-robotics-to-assist-decision-support\/","title":{"rendered":"Funded PhD Project: The augmented agronomist: Synthesis of AI, ML and robotics to assist decision support"},"content":{"rendered":"

\"CollaborativeWe are offering an exciting funded PhD opportunity (funded for up to four years) at the crossroads of innovative robotics & AI research and agri-food technology within the\u00a0Collaborative Training Partnership (CTP) for Fruit Crop Research funded by BBSRC and Industry<\/a>\u00a0This project is funded through the “National Productivity Investment Fund (NPIF)<\/a>\u00a0through BBSRC.\u00a0<\/span><\/p>\n

Project Description\u00a0<\/span><\/h2>\n

“The augmented agronomist: Synthesis of AI, ML and robotics to assist decision support”\u00a0<\/span><\/h3>\n

With recent advances in Artificial Intelligence and Machine Learning\u00a0and maturity gained in many robotic applications and domains, this project sets out to provide agronomist with dedicated technological support in assessment and decision making. Adopting\u00a0innovative\u00a0paradigms already successfully deployed in tele-medicine and \u2013care, a mobile robotic “proxy”, equipped with multi-modal sensing to directly facilitate visual as well as multi-modal\u00a0(e.g. NIR,\u00a0moisture, \u2026)\u00a0inspection, will be developed and field-tested in the context of soft fruit production. Objectives of the project are\u00a0<\/span><\/p>\n