首页|Studies in the Area of Artificial Intelligence Reported from Indian Institute of Information Technology (Efficient Paddy Grain Quality Assessment Approach Utili zing Affordable Sensors)
Studies in the Area of Artificial Intelligence Reported from Indian Institute of Information Technology (Efficient Paddy Grain Quality Assessment Approach Utili zing Affordable Sensors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting originating from Allahab ad, India, by NewsRx correspondents, research stated, “Paddy (Oryza sativa) is o ne of the most consumed food grains in the world. The process from its sowing to consumption via harvesting, processing, storage and management require much eff ort and expertise.” The news correspondents obtained a quote from the research from Indian Institute of Information Technology: “The grain quality of the product is heavily affecte d by the weather conditions, irrigation frequency, and many other factors. Howev er, quality control is of immense importance, and thus, the evaluation of grain quality is necessary. Since it is necessary and arduous, we try to overcome the limitations and shortcomings of grain quality evaluation using image processing and machine learning (ML) techniques. Most existing methods are designed for ric e grain quality assessment, noting that the key characteristics of paddy and ric e are different. In addition, they have complex and expensive setups and utilize black-box ML models. To handle these issues, in this paper, we propose a reliab le ML-based IoT paddy grain quality assessment system utilizing affordable senso rs. It involves a specific data collection procedure followed by image processin g with an ML-based model to predict the quality. Different explainable features are used for classifying the grain quality of paddy grain, like the shape, size, moisture, and maturity of the grain. The precision of the system was tested in real-world scenarios.”
Indian Institute of Information Technolo gyAllahabadIndiaAsiaArtificial Intelligence
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NSTL
