Improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning H Zha, Y Miao, T Wang, Y Li, J Zhang, W Sun, Z Feng, K Kusnierek Remote sensing 12 (2), 215, 2020 | 181 | 2020 |
Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn X Wang, Y Miao, R Dong, H Zha, T Xia, Z Chen, K Kusnierek, G Mi, H Sun, ... European Journal of Agronomy 123, 126193, 2021 | 58 | 2021 |
In-season diagnosis of winter wheat nitrogen status in smallholder farmer fields across a village using unmanned aerial vehicle-based remote sensing Z Chen, Y Miao, J Lu, L Zhou, Y Li, H Zhang, W Lou, Z Zhang, ... Agronomy 9 (10), 619, 2019 | 49 | 2019 |
Simultaneous identification of spring wheat nitrogen and water status using visible and near infrared spectra and Powered Partial Least Squares Regression K Kusnierek, A Korsaeth Computers and Electronics in Agriculture 117, 200-213, 2015 | 43 | 2015 |
Economic optimal nitrogen rate variability of maize in response to soil and weather conditions: Implications for site-specific nitrogen management X Wang, Y Miao, R Dong, Z Chen, K Kusnierek, G Mi, DJ Mulla Agronomy 10 (9), 1237, 2020 | 37 | 2020 |
Challenges in using an analog uncooled microbolometer thermal camera to measure crop temperature K Kusnierek, A Korsaeth International Journal of Agricultural and Biological Engineering 7 (4), 60-74, 2014 | 27 | 2014 |
Proof-of-concept robot platform for exploring automated harvesting of sugar snap peas VF Tejada, MF Stoelen, K Kusnierek, N Heiberg, A Korsaeth Precision Agriculture 18, 952-972, 2017 | 25 | 2017 |
Developing a proximal active canopy sensor-based precision nitrogen management strategy for high-yielding rice J Lu, Y Miao, W Shi, J Li, X Hu, Z Chen, X Wang, K Kusnierek Remote sensing 12 (9), 1440, 2020 | 21 | 2020 |
Evaluating model-based strategies for in-season nitrogen management of maize using weather data fusion X Wang, Y Miao, WD Batchelor, R Dong, K Kusnierek Agricultural and Forest Meteorology 308, 108564, 2021 | 18 | 2021 |
Low-cost robotics for horticulture: A case study on automated sugar pea harvesting MF Stoelen, K Kusnierek, VF Tejada, N Heiberg, C Balaguer, A Korsaeth Precision agriculture'15, 241-258, 2015 | 18 | 2015 |
Development of a hybrid UAV sensor platform suitable for farm-scale applications in precision agriculture M Pircher, J Geipel, K Kusnierek, A Korsaeth The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017 | 17 | 2017 |
Improving active canopy sensor-based in-season rice nitrogen status diagnosis and recommendation using multi-source data fusion with machine learning J Lu, E Dai, Y Miao, K Kusnierek Journal of Cleaner Production 380, 134926, 2022 | 12 | 2022 |
Combining leaf fluorescence and active canopy reflectance sensing technologies to diagnose maize nitrogen status across growth stages R Dong, Y Miao, X Wang, F Yuan, K Kusnierek Precision Agriculture, 1-22, 2022 | 11 | 2022 |
Flowering Phenology of Six Seasonal-Flowering Strawberry Cultivars in a Coordinated European Study E Krüger, TL Woznicki, OM Heide, K Kusnierek, R Rivero, A Masny, ... Horticulturae 8 (10), 933, 2022 | 9 | 2022 |
Canopy fluorescence sensing for in-season maize nitrogen status diagnosis R Dong, Y Miao, X Wang, F Yuan, K Kusnierek Remote Sensing 13 (24), 5141, 2021 | 8 | 2021 |
Wood Fiber-Based Growing Media for Strawberry Cultivation: Effects of Incorporation of Peat and Compost SM Aurdal, TL Woznicki, TK Haraldsen, K Kusnierek, A Sønsteby, ... Horticulturae 9 (1), 36, 2022 | 7 | 2022 |
Growing Potatoes (Solanum tuberosum L.) Hydroponically in Wood Fiber—A Preliminary Case-Study Report T Woznicki, PJ Møllerhagen, P Heltoft, K Kusnierek Agronomy 11 (7), 1369, 2021 | 7 | 2021 |
Performance of wood fibre as a substrate in hydroponic strawberry production under different fertigation strategies K Kusnierek, A Sønsteby, T Woznicki IX International Strawberry Symposium 1309, 289-296, 2021 | 6 | 2021 |
Developing an active canopy sensor-based integrated precision rice management system for improving grain yield and quality, nitrogen use efficiency, and lodging resistance J Lu, H Wang, Y Miao, L Zhao, G Zhao, Q Cao, K Kusnierek Remote Sensing 14 (10), 2440, 2022 | 5 | 2022 |
In-season prediction of maize stem lodging risk using an active canopy sensor R Dong, Y Miao, P Berry, X Wang, F Yuan, K Kusnierek, C Baker, ... European Journal of Agronomy 151, 126956, 2023 | 4 | 2023 |