首页|New Machine Learning Study Findings Have Been Reported by Investigators at Counc il of Scientific and Industrial Research (CSIR) (Predicting Canopy Chlorophyll C oncentration In Citronella Crop Using Machine Learning Algorithms and Spectral . ..)
New Machine Learning Study Findings Have Been Reported by Investigators at Counc il of Scientific and Industrial Research (CSIR) (Predicting Canopy Chlorophyll C oncentration In Citronella Crop Using Machine Learning Algorithms and Spectral . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting out of Lucknow, India, by NewsRx editors, research stated, “Unmanned Aerial Vehicle (UAV) remote sensing in precision agriculture ( PA) is a promising technique for managing crop inputs. The high spatial-resoluti on data enables extensive examination of the crop canopy, including identifying low-chlorophyll patches for initiating prophylactic measures as early as possibl e.” Financial support for this research came from CSIR HRDG (CSIR-SRF) CSIR Aroma Mi ssion.
LucknowIndiaAsiaAlgorithmsBiolog ical FactorsChlorophyllChlorophyllidesCyborgsEmerging TechnologiesMach ine LearningMetalloporphyrinsPorphyrinsCouncil of Scientific and Industria l Research (CSIR)
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