@article{fdi:010092681,
  title = {{V}irtual sensor for ammonia estimation in aquaculture technological water from {C}ambodia},
  author = {{S}imionov, {I}. {A}. and {K}ong, {L}. and {P}el, {S}. and {P}lanton, {C}. and {C}aruso, {D}omenico and {S}lembrouck, {J}acques and {P}etrea, {S}. {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n {C}ambodia, the aquaculture sector registers as one of the fastest-growing food sectors, with a mean annual growth of more than 18% between 2002 and 2020. {T}he main challenge associated with the intensification of aquaculture is the discharge of untreated effluents, which contain large amounts of organic matter, nutrients, minerals, and other chemicals. {A}mong these, ammonia ({NH}3) 3 ) is of the highest interest to monitor and measure in the technological water since it directly influences the survival and growth performance of the fish biomass. {A}t the same time, the discharge of aquaculture wastewaters, containing high concentrations of ammonia, can generate water eutrophication in the natural aquatic environments receiving the effluents. {T}he present study aimed to develop a virtual sensor capable of estimating the concentration of {NH}3 3 in the technological water of a typical earthen aquaculture pond from {P}hnom {P}enh - {C}ambodia. {M}ultiple decision tree algorithms were employed for the prediction analysis and the accuracy was established based on {RMSE} (root mean square error) and {R} squared values.},
  keywords = {soft-sensor ; ammonia ; aquaculture ; {C}ambodia ; {CAMBODGE}},
  booktitle = {},
  journal = {{S}cientific {P}apers : {S}eries {E} : {L}and {R}eclamation {E}arth {O}bservation and {S}urveying {E}nvironmental {E}ngineering},
  volume = {13},
  numero = {},
  pages = {618--625},
  ISSN = {2285-6064},
  year = {2024},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092681},
}