The War for Fertile Soil: Advancements in Soil Nutrient Field Sensors

Daming Dong , Ning Wang , Hongwu Tian , Shixiang Ma , Chunjiang Zhao

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Engineering ›› DOI: 10.1016/j.eng.2025.04.029
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The War for Fertile Soil: Advancements in Soil Nutrient Field Sensors
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Daming Dong, Ning Wang, Hongwu Tian, Shixiang Ma, Chunjiang Zhao. The War for Fertile Soil: Advancements in Soil Nutrient Field Sensors. Engineering DOI:10.1016/j.eng.2025.04.029

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References

[1]

Hou D, Ok YS.Soil pollution—speed up global mapping.Nature 2019; 566(7745):455-456.

[2]

Shi TS, Collins SL, Yu K, Peñuelas J, Sardans J, Li H, et al.A global meta-analysis on the effects of organic and inorganic fertilization on grasslands and croplands.Nat Commun 2024; 15(1):3411.

[3]

Kirillova NP, Kemp DB, Artemyeva ZS.Colorimetric analysis of soil with flatbed scanners.Eur J Soil Sci 2017; 68(4):420-433.

[4]

Pal A, Dubey SK, Goel S, Kalita PK.Portable sensors in precision agriculture: assessing advances and challenges in soil nutrient determination.Trends Analyt Chem 2024; 180:117981.

[5]

Pal A, Dubey SK, Goel S.IoT enabled microfluidic colorimetric detection platform for continuous monitoring of nitrite and phosphate in soil.Comput Electron Agric 2022; 195:106856.

[6]

Nadporozhskaya M, Kovsh N, Paolesse R, Lvova L.Recent advances in chemical sensors for soil analysis: a review.Chemosensors 2022; 10(1):35.

[7]

Cardoso RM, Kalinke C, Rocha RG, dos PLSantos, Rocha DP, Oliveira PR, et al.Additive-manufactured (3D-printed) electrochemical sensors: a critical review.Anal Chim Acta 2020; 1118:73-91.

[8]

Cambou A, Cardinael R, Kouakoua E, Villeneuve M, Durand C, Barth BGès.Prediction of soil organic carbon stock using visible and near infrared reflectance spectroscopy (VNIRS) in the field.Geoderma 2016; 261:151-159.

[9]

Xu M, Chu X, Fu Y, Wang C, Wu S.Improving the accuracy of soil organic carbon content prediction based on visible and near-infrared spectroscopy and machine learning.Environ Earth Sci 2021; 80(8):326.

[10]

Stamenkovi Vć, Beegle LW, Zacny K, Arumugam DD, Baglioni P, Barba N, et al.The next frontier for planetary and human exploration.Nat Astron 2019; 3(2):116-120.

[11]

Tavares TR, Mouazen AM, Nunes LC, dos FRSantos, Melquiades FL, da TRSilva, et al.Laser-induced breakdown spectroscopy (LIBS) for tropical soil fertility analysis.Soil Tillage Res 2022; 216:105250.

[12]

Erler A, Riebe D, Beitz T, Löhmannsröben HG, Gebbers R.Soil nutrient detection for precision agriculture using handheld laser-induced breakdown spectroscopy (LIBS) and multivariate regression methods (PLSR, Lasso and GPR).Sensors 2020; 20(2):418.

[13]

Ji W, Adamchuk VI, Chen S, Mat ASSu, Ismail A, Gan Q, et al.Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study.Geoderma 2019; 341:111-128.

[14]

Taylor A, Kalnins A, Koot M, Jackson R, Toloza A, Ahmed HS, et al.Portable gamma spectrometry for rapid assessment of soil texture, organic carbon and total nitrogen in agricultural soils.J Soil Sediment 2023; 23(6):2556-2563.

[15]

Reinhardt N, Herrmann L.Gamma‐ray spectrometry as versatile tool in soil science: a critical review.J Plant Nutr Soil Sci 2019; 182(1):9-27.

[16]

Ballard Z, Brown C, Madni AM, Ozcan A.Machine learning and computation-enabled intelligent sensor design.Nat Mach Intell 2021; 3(7):556-565.

[17]

Grell M, Barandun G, Asfour T, Kasimatis M, Collins ASP, Wang J, et al.Point-of-use sensors and machine learning enable low-cost determination of soil nitrogen.Nat Food 2021; 2(12):981-989.

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