| Predicting within-field variability in grain yield and protein content of winter wheat using UAV-based multispectral imagery and machine learning approaches X Zhou, Y Kono, A Win, T Matsui, TST Tanaka Plant Production Science 24 (2), 137-151, 2021 | 114 | 2021 |
| Winter wheat yield prediction using convolutional neural networks and UAV-based multispectral imagery R Tanabe, T Matsui, Tsutomu, Tanaka Field Crops Research 291, 108786, 2023 | 61 | 2023 |
| Irrigation system and land use effect on surface water quality in river, at lake Dianchi, Yunnan, China T Tanaka, T Sato, K Watanabe, Y Wang, D Yang, H Inoue, K Li, T Inamura Journal of Environmental Sciences 25 (6), 1107-1116, 2013 | 45 | 2013 |
| Smart fertilizer management: the progress of imaging technologies and possible implementation of plant biomarkers in agriculture RK Agrahari, Y Kobayashi, TST Tanaka, SK Panda, H Koyama Soil Science and Plant Nutrition 67 (3), 248-258, 2021 | 39 | 2021 |
| Impact of Modern Rice Harvesting Practices over Traditional Ones K Hasan, TST Tanaka, M Alam, R Ali, CK Saha Reviews in Agricultural Science 8, 89–108, 2020 | 39 | 2020 |
| Multimodal Deep Learning for Rice Yield Prediction Using UAV-Based Multispectral Imagery and Weather Data MS Mia, R Tanabe, NL Habibi, N Hashimoto, K Homma, M Maki, T Matsui, ... Remote Sensing 15 (10), 2511, 2023 | 33 | 2023 |
| Timing of harvest of Phragmites australis (CAV.) Trin. ex Steudel affects subsequent canopy structure and nutritive value of roughage in subtropical highland TST Tanaka, C Irbis, H Kumagai, T Inamura Journal of environmental management 166, 420-428, 2016 | 32 | 2016 |
| Machine Learning Techniques to Predict Soybean Plant Density Using UAV and Satellite-Based Remote Sensing. Remote Sens. 2021, 13, 2548 LN Habibi, T Watanabe, T Matsui, TST Tanaka s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | 29* | 2021 |
| Soil nitrate accumulation and leaching to groundwater during the entire vegetable phase following conversion from paddy rice Y Wang, K Li, TST Tanaka, D Yang, T Inamura Nutrient Cycling in Agroecosystems 106, 325-334, 2016 | 26 | 2016 |
| Effect of Phragmites japonicus harvest frequency and timing on dry matter yield and nutritive value TST Tanaka, C Irbis, H Kumagai, P Wang, K Li, T Inamura Journal of Environmental Management 187, 436-443, 2017 | 23 | 2017 |
| Impact of plant harvest management on function and community structure of nitrifiers and denitrifiers in a constructed wetland TST Tanaka, C Irbis, P Wang, T Inamura FEMS Microbiology Ecology 91 (2), 1-10, 2015 | 21 | 2015 |
| Deep learning enables instant and versatile estimation of rice yield using ground-based RGB images Y Tanaka, T Watanabe, K Katsura, Y Tsujimoto, T Takai, TST Tanaka, ... Plant Phenomics, 2023 | 19 | 2023 |
| Panicle inclination influences pollination stability of rice (Oryza sativa L.) A Win, TST Tanaka, T Matsui Plant Production Science 23 (1), 60-68, 2020 | 15 | 2020 |
| Annual nutrient balance and soil chemical properties in heavy multiple cropping system in the coastal area of southeast Lake Dianchi, Yunnan Province, China Y Wang, T Tanaka, H Inoue, K Li, D Yang, T Inamura Plant Production Science 18 (3), 323-335, 2015 | 14 | 2015 |
| Review of crop phenotyping in field plot experiments using UAV-mounted sensors and algorithms TST Tanaka, S Wang, JR Jørgensen, M Gentili, AZ Vidal, AK Mortensen, ... Drones 8 (6), 212, 2024 | 13 | 2024 |
| Causal forest approach for site-specific input management via on-farm precision experimentation S Kakimoto, T Mieno, TST Tanaka, DS Bullock Computers and Electronics in Agriculture 199, 107164, 2022 | 13 | 2022 |
| Assessment of design and analysis frameworks for on-farm experimentation through a simulation study of wheat yield in Japan TST Tanaka Precision Agriculture 22, 1601–1616, 2021 | 13 | 2021 |
| Decreasing input–output balance by reducing chemical fertilizer input without yield loss in intensive cropping system in the Coastal Area of southeast Lake Dianchi, Yunnan … Y Wang, TST Tanaka, K Li, T Inamura Plant Production Science 19 (1), 81-90, 2016 | 13 | 2016 |
| Critical evaluation of the effects of a cross-validation strategy and machine learning optimization on the prediction accuracy and transferability of a soybean yield prediction … LN Habibi, T Matsui, TST Tanaka Journal of Agriculture and Food Research 16, 101096, 2024 | 11 | 2024 |
| Phylogenetic analyses of Phragmites spp. in southwest China identified two lineages and their hybrids TST Tanaka, C Irbis, T Inamura Plant Systematics and Evolution 303, 699-707, 2017 | 11 | 2017 |
Luthfan Nur HabibiThe United Graduate School of Agricultural Science, Gifu UniversityВерификована је имејл адреса на s.gifu-u.ac.jp
