The main idea of the invention is an expert system to execute a specific recipe through a food container and a moving and tilting pot with gases and visible cooking analysis. Details used to achieve professional results are: food preprocessing and weighted, normal warehouse, fridge, and deep fridge, overall positioning, computer control, monitoring the cooking gases and light spectrum and trainability. The machinery line has been designed for the semi-professional market but it has capabilities for catering, military operation, gourmet cooking and serving. The modular design permits an entry system with a few food containers, two pots, an oven and the base software running on a single PC while the advanced option uses thousands of food boxes, tenths of pots, pans, ovens and high expert systems intelligence running on real time industrial computers. All these give unlimited futuristic capabilities covering the 10-year time for Return on Investment. The cooking on this machine is a statistical Big Data cooking with Data Science principles.
The poor Data Science support of agriculture brought us to our main idea of the research is to analyze all micro-works for every plant or tree. Then we proceed to specify targeted actions for harvest collection, micro spraying and hundreds similar simple actions. Initially we collect data from the farm. The airborne, land and underwater unmanned vehicles scan the field area with customized various sensors and cameras in various multi spectral modes. The result is minimum agro-chunk Four-Dimensional model. The unmanned vehicle on the field area receives target data. It is equipped with a general-purpose robotic arm, an absorbing bellow, a robotic pruner, a liquid spraying pipe, an underwater robotic arm and hundreds of others. It moves there and performs the commanded action. Action is flower or nuts collection, insect suction pruning and hundred more. All operations are high trainable by human intervention and the system stores its approach and logic for future action correction.
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