Technical Name |
Low Carbon Rice - An AIoT Rice Harvest System with Low Carbon Emissions |
Project Operator |
Nation Chung Hsing University |
Project Host |
楊明德 |
Summary |
"Low Carbon Rice - An AIoT Rice Harvest System with Low Carbon Emissions" is a fast (5s), low-cost (almost no cost),simple (3g only) tech for GMC assessment. It has been implemented in domesticinternational collaborations. By reducing 5GMC, the proposed tech has a potential value of 540 milliona reduction of 7.26 million tons of CO2/year, equivalent to nearly 19,000 Daan Parks. This tech enhances agricultural profitcontributes to achieving net-zero carbon emissions. |
Scientific Breakthrough |
"Low Carbon Rice - An AIoT Rice Harvest System with Low Carbon Emissions" is a breakthrough in GMC assessment tech compared to previous methods. This tech utilizes feature selection, ML,CNN (U2-Net), supported by a tiny radiation calibration card, to achieve an AI background removal performance of 30 FPS in the field with high accuracy, speed,convenience. This tech can help farmers increase profitsreduce carbon emissions in the drying stage by over 33. |
Industrial Applicability |
"Low Carbon Rice - An AIoT Rice Harvest System with Low Carbon Emissions" can increase total revenue by 540 million NTD in Taiwanreduce carbon emissions of 33 by decreasing 5 GMC. The system is applicable in domesticPapua New Guinea, reducing the rice harvesting experience threshold. This invention is currently undergoing a patent. It can be expanded to rice-producing countriesfriendly nations, substantially contributing to net-zero carbon emissions. |
Keyword |
Carbon Emissions Net-zero Emissions Carbon Credits Carbon Equivalent Grain Moisture Content Precision Agriculture Machine Learning Convolutional Neural Networks Smart Agriculture |