Monitoring and identification of agricultural crops through multitemporal analysis of optical images and machine learning algorithms

HIGHLIGHTS

• who: Josu00e9 M. Espinosa-Herrera and colleagues from the 6230, Estado, Mexico have published the paper: Monitoring and Identification of Agricultural Crops through Multitemporal Analysis of Optical Images and Machine Learning Algorithms, in the Journal: Sensors 2022, 22, x FOR PEER REVIEW of 21/06/2019
• what: On average, each parcel was visited 12 times, for a total of 3215 Figure 5 shows the number of parcels visited per month in the study area during the 2019 crop cycle. (c) Satellite images used Time series of satellite scenes were used to monitor and detect changes . . .
  

   

  

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