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M. M. Ali, Ahmed Al-Ani, Derek Eamus & Daniel K. Y. Tan. (2017) Leaf nitrogen determination using non-destructive techniques–A review. Journal of Plant Nutrition 40:7, pages 928-953.
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Md Jasim Uddin, Jordan Sherrell, Anahita Emami & Meysam Khaleghian. (2024) Application of Artificial Intelligence and Sensor Fusion for Soil Organic Matter Prediction. Sensors 24:7, pages 2357.
Crossref
Crossref
Oscar D. Pedrayes, Rubén Usamentiaga, Yanni Trichakis & Faycal Bouraoui. (2024) Evaluation of multispectral data for recent manure application: A case study in northern Spain. Ecological Indicators 158, pages 111550.
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Oscar D. Pedrayes, Rubén Usamentiaga, Yanni Trichakis & Faycal Bouraoui. (2023) Remote sensing for detecting freshly manured fields. Ecological Informatics 75, pages 102006.
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Oscar D. Pedrayes & Rubén Usamentiaga. (2023) Satellite imagery dataset of manure application on pasture fields. Data in Brief 46, pages 108786.
Crossref
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Swee King Phang, Tsai Hou Adam Chiang, Ari Happonen & Miko May Lee Chang. (2023) From Satellite to UAV-Based Remote Sensing: A Review on Precision Agriculture. IEEE Access 11, pages 127057-127076.
Crossref
Crossref
Orhan DENGİZ, Mert DEDEOĞLU & Nursaç Serda KAYA. (2022) Determination of the Relationship between Rice Suitability Classes and Satellite Images with Different Time Series for Yeşil Küre Farm Lands. Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi 32:3, pages 507-526.
Crossref
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Paul C. Stoy, Anam M. Khan, Aaron Wipf, Nick Silverman & Scott L. Powell. (2022) The spatial variability of NDVI within a wheat field: Information content and implications for yield and grain protein monitoring. PLOS ONE 17:3, pages e0265243.
Crossref
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Marco Sozzi, Ahmed Kayad, Stefano Gobbo, Alessia Cogato, Luigi Sartori & Francesco Marinello. (2021) Economic Comparison of Satellite, Plane and UAV-Acquired NDVI Images for Site-Specific Nitrogen Application: Observations from Italy. Agronomy 11:11, pages 2098.
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Karl Guillard, Kevin M. Miele, Irfan Sürer & Thomas F. Morris. (2021) Guiding fall fertilization of cool‐season turfgrass lawns with verdure tissue‐N tests. Crop Science 61:3, pages 2090-2112.
Crossref
Crossref
Ewa Panek, Dariusz Gozdowski, Michał Stępień, Stanisław Samborski, Dominik Ruciński & Bartosz Buszke. (2020) Within-Field Relationships between Satellite-Derived Vegetation Indices, Grain Yield and Spike Number of Winter Wheat and Triticale. Agronomy 10:11, pages 1842.
Crossref
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Mert DEDEOĞLU. (2020) Vejetasyon indis değerleri ile şeker pancarı yaprak azot içeriğinin izlenmesiMonitoring of leaf nitrogen content in sugar beet by vegetation index values. Toprak Bilimi ve Bitki Besleme Dergisi 8:1, pages 69-76.
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Mohammad Yadegari, Redmond R. Shamshiri, Abdul Rashid Mohamed Shariff, Siva K. Balasundram & Benjamin Mahns. (2020) Using SPOT-7 for Nitrogen Fertilizer Management in Oil Palm. Agriculture 10:4, pages 133.
Crossref
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Mert Dedeoğlu, Levent Başayiğit, Mahmut Yüksel & Fuat Kaya. (2019) Assessment of the vegetation indices on Sentinel-2A images for predicting the soil productivity potential in Bursa, Turkey. Environmental Monitoring and Assessment 192:1.
Crossref
Crossref
Hongjun Li, Yuming Zhang, Yuping Lei, Vita Antoniuk & Chunsheng Hu. (2019) Evaluating Different Non-Destructive Estimation Methods for Winter Wheat (Triticum aestivum L.) Nitrogen Status Based on Canopy Spectrum. Remote Sensing 12:1, pages 95.
Crossref
Crossref
Lukas Prey & Urs Schmidhalter. (2019) Simulation of satellite reflectance data using high-frequency ground based hyperspectral canopy measurements for in-season estimation of grain yield and grain nitrogen status in winter wheat. ISPRS Journal of Photogrammetry and Remote Sensing 149, pages 176-187.
Crossref
Crossref
Marek Kulbacki, Jakub Segen, Wojciech Kniec, Ryszard Klempous, Konrad Kluwak, Jan Nikodem, Julita Kulbacka & Andrea Serester. (2018) Survey of Drones for Agriculture Automation from Planting to Harvest. Survey of Drones for Agriculture Automation from Planting to Harvest.
Chenghai YANG. (2018) High resolution satellite imaging sensors for precision agriculture. Frontiers of Agricultural Science and Engineering 0:0, pages 0.
Crossref
Crossref
H. Bu, L. K. Sharma, A. Denton & D. W. Franzen. (2017) Comparison of Satellite Imagery and Ground‐Based Active Optical Sensors as Yield Predictors in Sugar Beet, Spring Wheat, Corn, and Sunflower. Agronomy Journal 109:1, pages 299-308.
Crossref
Crossref
M.M. Saberioon, M.S.M. Amin, A.R. Anuar, A. Gholizadeh, A. Wayayok & S. Khairunniza-Bejo. (2014) Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale. International Journal of Applied Earth Observation and Geoinformation 32, pages 35-45.
Crossref
Crossref
Shanyu Huang, Yuxin Miao, Guangming Zhao, Xiaobo Ma, Chuanxiang Tan, Georg Bareth, Uwe Rascher & Fei Yuan. (2013) Estimating rice nitrogen status with satellite remote sensing in Northeast China. Estimating rice nitrogen status with satellite remote sensing in Northeast China.
Chunhua Zhang & John M. Kovacs. (2012) The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture 13:6, pages 693-712.
Crossref
Crossref
Liangliang Jia, Zihui Yu, Fei Li, Martin Gnyp, Wolfgang Koppe, Georg Bareth, Yuxin Miao, Xinping Chen & Fusuo Zhang. 2012. Computer and Computing Technologies in Agriculture V. Computer and Computing Technologies in Agriculture V
174
184
.
M. Adami, B. F. T. Rudorff, F. M. Breunig, F. J. Ponzoni, L. S. Galvão, M. A. Moreira, J. G. Freitas & V. Marino Rodrigues Sala. (2010) Effect of Nitrogen and Endophytic Bacteria on Biophysical and Spectral Parameters of Wheat Canopy. Agronomy Journal 102:2, pages 544-552.
Crossref
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