Diffuse reflectance spectroscopy (DRS) for rapid soil testing and soil quality assessment in smallholder farms

被引:7
|
作者
Majeed, Israr [1 ]
Garg, Kaushal K. [2 ]
Venkataradha, A. [2 ]
Purushothaman, Naveen K. [1 ]
Roy, Sourav [1 ]
Reddy, Nagarjuna N. [1 ]
Singh, Ramesh [2 ]
Anantha, K. H. [2 ]
Dixit, Sreenath [2 ]
Das, Bhabani S. [1 ,3 ]
机构
[1] Indian Inst Technol Kharagpur, Agr & Food Engn Dept, Kharagpur, West Bengal, India
[2] Int Crops Res Inst Semi Arid Trop, Patancheru, Telangana, India
[3] Indian Inst Technol Kharagpur, Agr & Food Engn Dept, Kharagpur 721302, West Bengal, India
关键词
chemometric models; crop yield; soil nutrients; soil quality index; soil test crop response rating; soil testing; SPECTRAL REFLECTANCE; EVALUATE; LIBRARY; INDEXES; SYSTEMS; TOOL;
D O I
10.1111/ejss.13358
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Rapid soil testing and soil quality assessment are essential to address soil degradation and low farm incomes in smallholder farms. With the objective of testing diffuse reflectance spectroscopy (DRS) to rapidly assess soil chemical properties, nutrient content and a soil quality index (SQI), samples of surface soil were collected from 1113 smallholder farms in seven districts in Bundelkhand region of Uttar Pradesh, India. A minimum dataset (MDS) approach was followed to estimate SQI using the three chemical parameters of soil pH, electrical conductivity (EC) and soil organic carbon (SOC), and 11 different soil nutrients. Principal component and correlation analyses showed that soil pH, SOC content and three available nutrients - copper (Cu), iron (Fe) and sulphur (S) - may constitute the MDS. Estimated SQI values showed strong positive correlation with crop yields. Results of chemometric modelling showed that the DRS approach could yield the coefficient of determination (R-2) values in the validation datasets ranging from 0.79 to 0.94 for exchangeable calcium (Ca) followed by 0.67-0.88 for exchangeable potassium (K), 0.52-0.86 for SOC and 0.53-0.81 for available boron (B) content. Except in one district, the DRS approach could be used to estimate SQI values with R-2 values in the range of 0.63-0.81; an R-2 value of 0.71 was obtained in the pooled dataset. We also estimated the three-tier soil test crop response (STCR) ratings to compare DRS and wet chemistry soil testing approaches. Similar STCR ratings were obtained for both these approaches in more than 86% of the samples. Parameters for which both the methods yielded similar ratings in more than 80% of the samples were EC (>98%), pH and exchangeable Ca (>81%) and available B (>89%). With similar ratings, these results suggest that the DRS approach may safely be used for farmers' fields, replacing the traditional wet analysis approach of soil testing.
引用
下载
收藏
页数:19
相关论文
共 50 条
  • [31] Rapid and Noninvasive Assessment of Atterberg Limits Using Diffuse Reflectance Spectroscopy
    Gupta, Abhinav
    Das, Bhabani Sankar
    Kumar, Ashish
    Chakraborty, Poulamee
    Mohanty, Biswajita
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2016, 80 (05) : 1283 - 1295
  • [32] Use of diffuse reflectance spectroscopy and Nix pro color sensor in combination for rapid prediction of soil organic carbon
    Mukhopadhyay, Swagata
    Chakraborty, Somsubhra
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 176
  • [33] Soil Heterogeneity and Soil Fertility Gradients in Smallholder Farms of the East African Highlands
    Tittonell, P.
    Muriuki, A.
    Klapwijk, C. J.
    Shepherd, K. D.
    Coe, R.
    Vanlauwe, B.
    SOIL SCIENCE SOCIETY OF AMERICA JOURNAL, 2013, 77 (02) : 525 - 538
  • [34] Diffuse reflectance spectroscopy (DRS) for identification of breast cancer in lumpectomy specimen
    De Boer, L. L.
    Molenkamp, B. G.
    Wesseling, J.
    Hendriks, B. H. W.
    Bydlon, T. M.
    Ruers, T. J. M.
    EUROPEAN JOURNAL OF CANCER, 2013, 49 : S257 - S257
  • [35] Prediction of As in Soil with Reflectance Spectroscopy
    Zheng Guang-hui
    Zhou Sheng-lu
    Wu Shao-hua
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31 (01) : 173 - 176
  • [36] Performance Evaluation of Proximal Sensors for Soil Assessment in Smallholder Farms in Embu County, Kenya
    Piikki, Kristin
    Soderstrom, Mats
    Eriksson, Jan
    John, Jamleck Muturi
    Muthee, Patrick Ireri
    Wetterlind, Johanna
    Lund, Eric
    SENSORS, 2016, 16 (11):
  • [37] Application of near infrared reflectance spectroscopy for the assessment of soil quality in a long-term pasture
    Butkute, Bronislava
    Slepetiene, Alvyra
    COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 2006, 37 (15-20) : 2389 - 2409
  • [38] Rapid determination of soil unconfined compressive strength using reflectance spectroscopy
    Fatemeh Mousavi
    Ehsan Abdi
    Parviz Fatehi
    Abbas Ghalandarzadeh
    Hossein Ali Bahrami
    Baris Majnounian
    Noura Ziadi
    Bulletin of Engineering Geology and the Environment, 2021, 80 : 3923 - 3938
  • [39] Prediction of Soil Erodibility by Diffuse Reflectance Spectroscopy in a Neotropical Dry Forest Biome
    Pontes, Samuel Ferreira
    Agra Bezerra da Silva, Yuri Jacques
    Martins, Vanessa
    Boechat, Cacio Luiz
    Ferreira Araujo, Ademir Sergio
    Dantas, Jussara Silva
    Costa Jr, Ozeas S.
    Barbosa, Ronny Sobreira
    LAND, 2022, 11 (12)
  • [40] DIFFUSE REFLECTANCE INFRARED FOURIER-TRANSFORM (DRIFT) SPECTROSCOPY IN SOIL STUDIES
    NGUYEN, TT
    JANIK, LJ
    RAUPACH, M
    AUSTRALIAN JOURNAL OF SOIL RESEARCH, 1991, 29 (01): : 49 - 67