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Hyperspectral sensor pushes weed science a wave further
By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a ...
IEEE16d
Study on Machine Learning Techniques used for Agricultural Yield Estimation
Abstract: This paper presents the various crop yield prediction algorithms using machine learning ... data mining technology, it has made significant progress. Artificial intelligence, and computer ...
Frontiers17d
Comprehensive metabolomic and microbial analysis of tobacco rhizosphere soil responses to crop rotation and fertilization
is a crucial Solanaceae crop ... and data amount required (Bokulich et al., 2013). We employed a multi-region primer amplification strategy targeting bacterial 16S (V3/V4/V4-V5), archaeal 16S (ArcV4), ...
IEEE28d
Crop Classification Using Airborne Radar and Landsat Data
Abstract: Airborne radar data acquired with a 13.3-GHz scatterometer over a test ... basis and by about 15 points when performed on a field-average basis. As with all crop-classification studies, ...
Medical Xpress29d
A machine learning tool can help with diagnosing, monitoring colorectal cancer
Scientists aiming to advance cancer diagnostics have developed a machine learning tool ... diagnostics and monitoring, especially because metabolic-based biomarker analysis could also be utilized ...
C&EN29d
Exposome-Scale Investigation of Cl-/Br-Containing Chemicals Using High-Resolution Mass Spectrometry, Multistage Machine Learning, and Cloud Computing
Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada ...