Big Data Analytic Technology for Broiler Specification Prediction and Feeding Condition Optimizing for Smart Agriculture
The technology develops an algorithm to estimate the average weight of broilers in poultry houses every hour. In addition, using the prediction results and historical broiler carcass distribution information to predict the average weight and slaughtering specification distribution of each farm for the next 7 days. The technology enables agribusiness to accurately schedule the appropriate time for each farm to meet the market's specifications and reduce losses and waste. The technology has been validated in the broiler industry, achieving an accuracy of 98% in weight prediction and an error rate of 6% in specification prediction.
Is Ground Truth Always Correct? An Explainable Analytics Ecosystem: Understanding Misjudgments for Enhancing Decision-makings in Medicine and Recommender Systems
Cholesteric Liquid Crystal AI Electric-Optical AIoT System for Environmental Detection, Medical Test, Epidemic Prevention and Green energy applications
Control system for drinking water filtration and remineralization applications to generate targeted output rates in corresspondence with sensor feedback and software
Pen-shaped Probe Analyzers for Rapid Detection and Mapping of Volatile Organic Compounds Emanating from Surfaces
Technology maturity:Prototype
Exhibiting purpose:Display of scientific results
Trading preferences:Negotiate by self
Coming soon!