首页|Recent Findings in Machine Learning Described by Researchers from Thapar Institute of Engineering & Technology (Tomato Ripeness and Shelf-life Prediction System Using Machine Learning)
Recent Findings in Machine Learning Described by Researchers from Thapar Institute of Engineering & Technology (Tomato Ripeness and Shelf-life Prediction System Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learning have been published. According to news reporting out of Punjab, India, by NewsRx editors, research stated, "This study proposes an ensemble approach to develop a tomato ripeness and shelf life prediction system based on defects and color intensity. The dataset has been created by designing an image acquisition system to capture 3450 images." Financial support for this research came from Thapar-TAU Centre for Excellence in Food Security (T2CEFS) under the research project "A Data-Driven Approach to Precision Agriculture in Small Farms Project.
PunjabIndiaAsiaCyborgsEmerging TechnologiesMachine LearningThapar Institute of Engineering & Technology
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