TY - GEN
T1 - Detection of Nutrient Deficiency in Rice Plants Based on Leaf Image
AU - Sulastri, Miftakhul Janah
AU - Sulistyaningrum, Dwi Ratna
AU - Nurhadi, Hendro
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In 2019 the yield of rice production experienced a considerable decline, one of which was caused by weather factors that resulted in drought on the land, so that the absorption of nutrients given to rice plants was not optimal. Seeing developments in the field of image technology, researchers used image processing and computer vision to determine the availability of nutrients contained in the image of rice leaves, by applying the feature extraction method. Feature extraction produces six feature values which are then used for detection using the Learning Vector Quantization (LVQ) method. The detection in this final project can recognize the image of rice plants lacking in nutrients N, P, and K which has an accuracy of 87.5
AB - In 2019 the yield of rice production experienced a considerable decline, one of which was caused by weather factors that resulted in drought on the land, so that the absorption of nutrients given to rice plants was not optimal. Seeing developments in the field of image technology, researchers used image processing and computer vision to determine the availability of nutrients contained in the image of rice leaves, by applying the feature extraction method. Feature extraction produces six feature values which are then used for detection using the Learning Vector Quantization (LVQ) method. The detection in this final project can recognize the image of rice plants lacking in nutrients N, P, and K which has an accuracy of 87.5
KW - feature extraction
KW - image processing
KW - learning vector quantization
KW - nutrients
KW - rice leaf image
UR - http://www.scopus.com/inward/record.url?scp=85135051882&partnerID=8YFLogxK
U2 - 10.1109/ICAMIMIA54022.2021.9807811
DO - 10.1109/ICAMIMIA54022.2021.9807811
M3 - Conference contribution
AN - SCOPUS:85135051882
T3 - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021 - Proceeding
SP - 143
EP - 148
BT - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2021
Y2 - 8 December 2021 through 9 December 2021
ER -