TY - JOUR
AU - Laura Torres
AU - Luis Romero
AU - Edgar Aguirre
AU - Roberto Ferro-Escobar
AB - Artificial intelligence presents different approaches, one of these is the use of neural network algorithms, a particular context is the farming sector and these algorithms support the detection of diseases in flowers, this work presents a system to detect downy mildew disease in roses through the analysis of images through neural networks and the correlation of environmental variables through an experiment in a controlled environment, for which an IoT platform was developed that integrated an artificial intelligence module. For the verification of the model, three different models of neural networks in a controlled greenhouse were experimentally compared and a proposed model was obtained for the training and validation sets of two categories of healthy roses and diseased roses with 89% training and 11% recovery. validation and it was determined that the relative humidity variable can influence the development and appearance of Downy Mildew disease when its value is above 85% for a prolonged period.
IS - Regular Issue
M1 - 4
N2 - Artificial intelligence presents different approaches, one of these is the use of neural network algorithms, a particular context is the farming sector and these algorithms support the detection of diseases in flowers, this work presents a system to detect downy mildew disease in roses through the analysis of images through neural networks and the correlation of environmental variables through an experiment in a controlled environment, for which an IoT platform was developed that integrated an artificial intelligence module. For the verification of the model, three different models of neural networks in a controlled greenhouse were experimentally compared and a proposed model was obtained for the training and validation sets of two categories of healthy roses and diseased roses with 89% training and 11% recovery. validation and it was determined that the relative humidity variable can influence the development and appearance of Downy Mildew disease when its value is above 85% for a prolonged period.
PY - 2023
SE - 105
SP - 105
EP - 116
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - IoT Detection System for Mildew Disease in Roses Using Neural Networks and Image Analysis
UR - https://www.ijimai.org/journal/sites/default/files/2023-11/ijimai8_4_10.pdf
VL - 8
SN - 1989-1660
ER -