Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review
Amidst the growing food demands of an increasing population, agricultural intensification frequently depends on excessive chemical and fertilizer applications. While this approach initially boosts crop yields, it effects long-term sustainability through soil degradation and compromised food quality....
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-06-01
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| Series: | Artificial Intelligence in Agriculture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589721725000200 |
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| author | Niharika Vullaganti Billy G. Ram Xin Sun |
| author_facet | Niharika Vullaganti Billy G. Ram Xin Sun |
| author_sort | Niharika Vullaganti |
| collection | DOAJ |
| description | Amidst the growing food demands of an increasing population, agricultural intensification frequently depends on excessive chemical and fertilizer applications. While this approach initially boosts crop yields, it effects long-term sustainability through soil degradation and compromised food quality. Thus, prioritizing soil health while enhancing crop production is essential for sustainable food production. Site-Specific Nutrient Management (SSNM) emerges as a critical strategy to increase crop production, maintain soil health, and reduce environmental pollution. Despite its potential, the application of SSNM technologies remain limited in farmers' fields due to existing research gaps. This review critically analyzes and presents research conducted in SSNM in the past 11 years (2013–2024), identifying gaps and future research directions. A comprehensive study of 97 relevant research publications reveals several key findings: a) Electrochemical sensing and spectroscopy are the two widely explored areas in SSNM research, b) Despite numerous technologies in SSNM, each has its own limitation, preventing any single technology from being ideal, c) The selection of models and preprocessing techniques significantly impacts nutrient prediction accuracy, d) No single sensor or sensor combination can predict all soil properties, as suitability is highly attribute-specific. This review provides researchers, and technical personnel in precision agriculture, and farmers with detailed insights into SSNM research, its implementation, limitations, challenges, and future research directions. |
| format | Article |
| id | doaj-art-eeced85ca7a9493288221caba5c4e918 |
| institution | DOAJ |
| issn | 2589-7217 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Artificial Intelligence in Agriculture |
| spelling | doaj-art-eeced85ca7a9493288221caba5c4e9182025-08-20T02:54:11ZengKeAi Communications Co., Ltd.Artificial Intelligence in Agriculture2589-72172025-06-0115214716110.1016/j.aiia.2025.02.001Precision agriculture technologies for soil site-specific nutrient management: A comprehensive reviewNiharika Vullaganti0Billy G. Ram1Xin Sun2Department of Agricultural and Biosystems Engineering, North Dakota State University, Fargo, ND 58102, USADepartment of Agricultural and Biosystems Engineering, North Dakota State University, Fargo, ND 58102, USACorresponding author.; Department of Agricultural and Biosystems Engineering, North Dakota State University, Fargo, ND 58102, USAAmidst the growing food demands of an increasing population, agricultural intensification frequently depends on excessive chemical and fertilizer applications. While this approach initially boosts crop yields, it effects long-term sustainability through soil degradation and compromised food quality. Thus, prioritizing soil health while enhancing crop production is essential for sustainable food production. Site-Specific Nutrient Management (SSNM) emerges as a critical strategy to increase crop production, maintain soil health, and reduce environmental pollution. Despite its potential, the application of SSNM technologies remain limited in farmers' fields due to existing research gaps. This review critically analyzes and presents research conducted in SSNM in the past 11 years (2013–2024), identifying gaps and future research directions. A comprehensive study of 97 relevant research publications reveals several key findings: a) Electrochemical sensing and spectroscopy are the two widely explored areas in SSNM research, b) Despite numerous technologies in SSNM, each has its own limitation, preventing any single technology from being ideal, c) The selection of models and preprocessing techniques significantly impacts nutrient prediction accuracy, d) No single sensor or sensor combination can predict all soil properties, as suitability is highly attribute-specific. This review provides researchers, and technical personnel in precision agriculture, and farmers with detailed insights into SSNM research, its implementation, limitations, challenges, and future research directions.http://www.sciencedirect.com/science/article/pii/S2589721725000200ModelingOn-the go sensingSite-specific nutrient managementSoil nutrientsSpectroscopy |
| spellingShingle | Niharika Vullaganti Billy G. Ram Xin Sun Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review Artificial Intelligence in Agriculture Modeling On-the go sensing Site-specific nutrient management Soil nutrients Spectroscopy |
| title | Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review |
| title_full | Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review |
| title_fullStr | Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review |
| title_full_unstemmed | Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review |
| title_short | Precision agriculture technologies for soil site-specific nutrient management: A comprehensive review |
| title_sort | precision agriculture technologies for soil site specific nutrient management a comprehensive review |
| topic | Modeling On-the go sensing Site-specific nutrient management Soil nutrients Spectroscopy |
| url | http://www.sciencedirect.com/science/article/pii/S2589721725000200 |
| work_keys_str_mv | AT niharikavullaganti precisionagriculturetechnologiesforsoilsitespecificnutrientmanagementacomprehensivereview AT billygram precisionagriculturetechnologiesforsoilsitespecificnutrientmanagementacomprehensivereview AT xinsun precisionagriculturetechnologiesforsoilsitespecificnutrientmanagementacomprehensivereview |