Estimation of Nitrogen Levels By Remote Sensing Method in Alfalfa (Medicago sativa L.)
Abstract
The aim of this study was to obtain spectral reflectance values by using
remote sensing method in alfalfa plant and to estimate nitrogen levels by using
these values. The treatments were carried out in both field and greenhouse
conditions. Different nitrogen, phosphorus and potassium
doses were applied to plots in the field and pots in greenhouse. Spectral
reflectance measurements were made at both the canopy (general) level and the
single leaf level when the plants were in pre-flowering stage. Reflectance measurements were undertaken using a portable
spectroradiometer measuring the wavelength range of 325-1075 nm of the
electromagnetic spectrum. Plant probe with artificial light source and leaf
clip were used for leaf measurements. Statistical analyses were conducted using
stepwise regression analysis
implemented in MINITAB-13 statistical program. As a result of the study,
significant relationships (Field-canopy: 0.94, Field-leaf: 0.23,
Greenhouse-canopy: 0.55, Greenhouse-leaf: 0.92) were determined between
the nitrogen levels in the plant and the reflectance values. Also results showed that
changes in nitrogen levels affect reflectance in the visible region (400-700
nm) of the spectrum. When the wavelengths were evaluated separately, it was observed
that the wavelengths of the blue, red and near infrared regions, which are
important for photosynthesis, can be used to estimate the nitrogen levels.
Keywords
Kaynakça
- Açıkgöz E 2001. Yem Bitkileri (3. Baskı). Uludağ Üniversitesi Güçlendirme Vakfı Yayın No: 182. VİPAŞ A.Ş. Yayın No: 58, Bursa, ss. 584.
- Açıkgöz E, Hatipoğlu R, Altınok S, Sancak C, Tan A, Uraz D 2005. Yem bitkileri üretimi ve sorunları, Türkiye Ziraat Mühendisliği VI. Teknik Kongresi, 3-7 Ocak 2005, Ankara, s. 503-518, 2005.
- Albayrak S. 2008. Use of reflectance measurements for the detection of N, P, K, ADF and NDF contents in sainfoin pasture. Sensors, 8 (11): 7275-7286.
- Anonymous 2018. https://www.tarim.gov.tr/sgb/Belgeler/SagMenuVeriler/BUGEM.pdf (Access date: 10.05.2018)
- Ball DM, Hoveland CS, Lacefıeld GD 1996. Forage Quality” (Chapter 16) Southern Forages. Publ. By the Williams Printing Company, pp: 124-132.
- Beeri O, Phillips R, Hendrickson J, Frank AB, Kronberg S 2007. Estimating forage quantity and quality using aerial hyperspectral imagery for Northern mixed-grass prairie. Remote Sensing of Environment, 110(2): 216–225.
- Brink GE, Rowe DE, Sistani KR, Adeli A 2003. Bermudagrass cultivar response to swine effluent application. Agronomy Journal, 95(3): 597–601.
- Daughtry CST, Walthall CL, Kim MS, De-Colstoun EB, McMurtrey JE 2000. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment, 74(2): 229-239.
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
30 Kasım 2018
Gönderilme Tarihi
20 Şubat 2018
Kabul Tarihi
7 Haziran 2018
Yayımlandığı Sayı
Yıl 2018 Cilt: 21 Sayı: 6
Cited By
Characterizing Leaf Nutrients of Wetland Plants and Agricultural Crops with Nonparametric Approach Using Sentinel-2 Imagery Data
Remote Sensing
https://doi.org/10.3390/rs13214249
