| Rapid and non-destructive prediction of mango quality attributes using Fourier transform near infrared spectroscopy and chemometrics AA Munawar, D von Hörsten, JK Wegener, E Pawelzik, D Mörlein Engineering in Agriculture, Environment and Food 9 (3), 208-215, 2016 | 107 | 2016 |
| IOP Conference Series: Materials Science and Engineering W Latif, SN Sharbini, WS WR, AK Idris Institute of Physics Publishing,, 2019 | 63 | 2019 |
| Data analysis on near infrared spectroscopy as a part of technology adoption for cocoa farmer in Aceh Province, Indonesia P Satriyo, AA Munawar Data in brief 29, 105251, 2020 | 57 | 2020 |
| Calibration models database of near infrared spectroscopy to predict agricultural soil fertility properties AA Munawar, Y Yunus, P Satriyo Data in brief 30, 105469, 2020 | 46 | 2020 |
| Near infrared spectroscopy (NIRS) data analysis for a rapid and simultaneous prediction of feed nutritive parameters S Wajizah, AA Munawar Data in brief 29, 105211, 2020 | 42 | 2020 |
| Rapid and non-destructive prediction of mango sweetness and acidity using near infrared spectroscopy AA Munawar, D Hörsten, D Mörlein, E Pawelzik, JK Wegener Gesellschaft für Informatik eV, 2013 | 37 | 2013 |
| Rapid and simultaneous determination of feed nutritive values by means of near infrared spectroscopy S Samadi, S Wajizah, AA Munawar Tropical Animal Science Journal 41 (2), 121-127, 2018 | 35 | 2018 |
| Near infrared spectroscopy as a fast and non-destructive technique for total acidity prediction of intact mango: Comparison among regression approaches AA Munawar, H Meilina, E Pawelzik Computers and Electronics in Agriculture 193, 106657, 2022 | 33 | 2022 |
| Near infrared spectroscopic data for rapid and simultaneous prediction of quality attributes in intact mango fruits AA Munawar, D Wahyuni Data in brief 27, 104789, 2019 | 31 | 2019 |
| Enhanced near infrared spectral data to improve prediction accuracy in determining quality parameters of intact mango R Hayati, AA Munawar, F Fachruddin Data in Brief 30, 105571, 2020 | 29 | 2020 |
| Multi-product calibration model for soluble solids and water content quantification in Cucurbitaceae family, using visible/near-infrared spectroscopy Y Hadiwijaya, IE Putri, AA Munawar Heliyon 7 (8), 2021 | 26 | 2021 |
| Rapid and simultaneous detection of hazardous heavy metals contamination in agricultural soil using infrared reflectance spectroscopy AA Munawar IOP Conference Series: Materials Science and Engineering 506 (1), 012008, 2019 | 26 | 2019 |
| Robust prediction performance of inner quality attributes in intact cocoa beans using near infrared spectroscopy and multivariate analysis R Hayati, Z Zulfahrizal, AA Munawar Heliyon 7 (2), 2021 | 25 | 2021 |
| Fast and simultaneous prediction of animal feed nutritive values using near infrared reflectance spectroscopy Samadi, S Wajizah, AA Munawar IOP Conference Series: Earth and Environmental Science 122, 012112, 2018 | 25* | 2018 |
| Fast, simultaneous and contactless assessment of intact mango fruit by means of near infrared spectroscopy K Kusumiyati, AA Munawar, D Suhandy AIMS Agriculture and Food 6 (1), 172-184, 2021 | 24 | 2021 |
| Predicted rainfall and discharge using vector autoregressive models in water resources management in the high hill Takengon I Ramli, S Rusdiana, H Basri, AA Munawar IOP Conference Series: Earth and Environmental Science 273 (1), 012009, 2019 | 23 | 2019 |
| Multivariate analysis and artificial neural network approaches of near infrared spectroscopic data for non-destructive quality attributes prediction of Mango (Mangifera indica L.) AA Munawar | 23 | 2014 |
| Comparisons among soil tillage system and their impacts to the tested rice varieties on lowland rainfed alluvial in aceh jaya H Helmi, AA Munawar, B Bakhtiar, Z Zulfahmi Food Res 5, 173-8, 2021 | 22 | 2021 |
| Rapid prediction of soil quality indices using near infrared spectroscopy Y Yunus, P Satriyo, AA Munawar IOP conference series: earth and environmental science 365 (1), 012043, 2019 | 21 | 2019 |
| The application of near infrared technology as a rapid and non-destructive method to determine vitamin C content of intact mango fruit. AA Munawar, R Hayati, D Wahyuni INMATEH-Agricultural Engineering 58 (2), 2019 | 21 | 2019 |
