Current sensor technologies for in situ and on-line measurement of soil nitrogen for variable rate fertilization: A review

Guerrero, Angela; Mouazen, Abdul Mounem

doi:10.1016/bs.agron.2021.02.001

Cited by 51 publications

(25 citation statements)

References 106 publications

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“…IoT Sensors: Fixed position, UAV, Satellites, UGV [23][24][25][26][27] Data Management and Analysis Farm Management Information Systems (FMIS) [7,28,29] Decision-making and Variable Rate Technology Variable rate nitrogen fertilizer (VRNF), CLAAS VRT, Automated yield monitoring system II (AYMS II), fuzzy logic DSS, AgroDSS [30][31][32][33] Financial services Index-based agricultural insurance, AFPOH, M-Banking [34][35][36][37][38] Knowledge and information Weather forecasts, pesticides, and fertilizer information; KALRO mobile applications, Farmers Advisory Systems [39][40][41] Market eSoko, Tru Trade, E-Wallet Scheme, E-Krishok and Zero Hunger [35,[41][42][43] e-Government Online Fertilizer Recommendation System (OFRS) in Bangladesh, AFPOH in India, KALRO in Kenya [35,40,44] Profiling platform Digital farmer profiling platform [10,15,16] Source: Author's compilation.…”

Section: Farm Managementmentioning

confidence: 99%

“…A few examples of VRT machines include the automated yield monitoring system II (AYMS II) made of unique "eye" color cameras and real-time kinematics-GPS for wild blueberry harvesting [54]. A sensor-based variable rate nitrogen fertilizer (VRNF) measures nitrogen with a multispectral sensor and fertilizer spreader mounted on a tractor, for real-time application conforming to the measured nitrogen in the crop [33]. The CLAAS VRT is used to apply nitrogen fertilizer, compatible with the "ISARIA" sensor [7].…”

Section: Decision-making and Variable Rate Applicationsmentioning

confidence: 99%

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Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review

2022

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Digital technology has the potential to eradicate extreme poverty and food insecurity to the majority of smallholder farmers in the world. This paper aims to identify knowledge gaps on digital technology for sustainable agriculture and assess their availability to smallholder farmers worldwide. The particular case of Tanzania receives special attention. We conducted an extensive literature search from relevant databases for review. The advanced digital technology in agriculture, mostly used by large scale farmers, significantly contributes to sustainable agriculture. However, the existing digital services for smallholder farmers lack sustainability in the agriculture context and hardly meet the needs for a comprehensive set of services in a complete farming cycle. In most developing countries, Tanzania case included, digital technology and services respond to a challenge at a particular stage of the farming process or to a specific value chain. Based on this literature review, we identify inequalities among large and small farmers, as well as environmental challenges caused by ICT itself. To conclude we provide suggestions for improvements for smallholder farmers: developing a digital platform that addresses smallholder farmers’ challenges in a complete farming cycle, bringing together the stakeholders at a country level, in order to achieve sustainable agriculture and support adoption of cutting-edge digital technology. These suggestions will be the starting point for future research.

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Section: Farm Managementmentioning

confidence: 99%

Section: Decision-making and Variable Rate Applicationsmentioning

confidence: 99%

Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review

2022

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“…Besides the many benefits, using electrochemical sensors for in situ and online measurements of total nitrogen (TN) and mineral N in soils has drawbacks. Several of them are discussed in [69]. A state-of-the-art review of the proximal sensing of soil nitrogen based on alternative methods based on visible and near-infrared spectroscopy (vis-NIRS) and mid-infrared spectroscopy (MIRS) is provided.…”

Section: Total and Mineral Nitrogenmentioning

confidence: 99%

Recent Advances in Chemical Sensors for Soil Analysis: A Review

et al. 2022

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The continuously rising interest in chemical sensors’ applications in environmental monitoring, for soil analysis in particular, is owed to the sufficient sensitivity and selectivity of these analytical devices, their low costs, their simple measurement setups, and the possibility to perform online and in-field analyses with them. In this review the recent advances in chemical sensors for soil analysis are summarized. The working principles of chemical sensors involved in soil analysis; their benefits and drawbacks; and select applications of both the single selective sensors and multisensor systems for assessments of main plant nutrition components, pollutants, and other important soil parameters (pH, moisture content, salinity, exhaled gases, etc.) of the past two decades with a focus on the last 5 years (from 2017 to 2021) are overviewed.

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“…Consequently, a set of applications have been developed that range from smartphone-captured digital images that use advanced data handling models to applications that can predict soil texture [101] and SOM content [102] with satisfactory accuracy. Furthermore, compact size and portable sensors based on microelectromechanical systems (MEMS) are undergoing a significant shift [103], enabling among other applications the development of new innovative VNIR-SWIR sensing applications for soil properties or real time variable rate soil sensors [104]. In this context, a set of novel and low-cost spectral acquisition systems has been explored in conjunction with non-linear regression algorithms for predicting soil properties [105][106][107], mainly under controlled illumination conditions in the laboratory.…”

Section: Integration Of In Situ Sensing Systems and Citizen Science Datamentioning

confidence: 99%

Earth Observation Data-Driven Cropland Soil Monitoring: A Review

et al. 2021

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We conducted a systematic review and inventory of recent research achievements related to spaceborne and aerial Earth Observation (EO) data-driven monitoring in support of soil-related strategic goals for a three-year period (2019–2021). Scaling, resolution, data characteristics, and modelling approaches were summarized, after reviewing 46 peer-reviewed articles in international journals. Inherent limitations associated with an EO-based soil mapping approach that hinder its wider adoption were recognized and divided into four categories: (i) area covered and data to be shared; (ii) thresholds for bare soil detection; (iii) soil surface conditions; and (iv) infrastructure capabilities. Accordingly, we tried to redefine the meaning of what is expected in the next years for EO data-driven topsoil monitoring by performing a thorough analysis driven by the upcoming technological waves. The review concludes that the best practices for the advancement of an EO data-driven soil mapping include: (i) a further leverage of recent artificial intelligence techniques to achieve the desired representativeness and reliability; (ii) a continued effort to share harmonized labelled datasets; (iii) data fusion with in situ sensing systems; (iv) a continued effort to overcome the current limitations in terms of sensor resolution and processing limitations of this wealth of EO data; and (v) political and administrative issues (e.g., funding, sustainability). This paper may help to pave the way for further interdisciplinary research and multi-actor coordination activities and to generate EO-based benefits for policy and economy.

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Current sensor technologies for in situ and on-line measurement of soil nitrogen for variable rate fertilization: A review

Cited by 51 publications

References 106 publications

Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review

Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review

Recent Advances in Chemical Sensors for Soil Analysis: A Review

Earth Observation Data-Driven Cropland Soil Monitoring: A Review

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