A Sustainability Assessment of the Greenseeker N Management Tool: A Lysimetric Experiment on Barley

Fabbri, Carolina; Napoli, Marco; Verdi, Leonardo; Mancini, Marco; Orlandini, Simone; Marta, Anna Dalla

doi:10.3390/su12187303

Cited by 8 publications

(3 citation statements)

References 79 publications

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“…Colaco et al (2018) [66] observed that using sensor-based technology for identifying the period of maximum crop demand, yields increased by 17% compared to conventional methods. This is in accordance with our previous study [67] in which we observed that performing fertilization at the right growing stage allows a reduction of 50% in the N rate while maintaining high yields of barley. The relevance of the rational use of fertilizers was highlighted by [68] who observed that on reducing the N rate on sweet potato by 20%, yields increased by 16.6-19% compared to conventional doses.…”

Section: Crop Yield and N Content Under Different Fertilizer Sources ...supporting

confidence: 93%

Short-term Response of Greenhouse Gas Emissions from Precision Fertilization on Barley

et al. 2022

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Precision fertilization is a promising mitigation strategy to reduce environmental impacts of N-fertilization, but the effective benefits of variable-rate fertilization have not yet been fully demonstrated. We evaluated the short-term response (23 days) of GHGs emissions following variable-rate fertilization on barley. Yields, biomass (grains + straw) and different N-use indicators (N uptake, grain protein concentration, recovery efficiency, physiological efficiency, partial factor productivity of applied nutrient, agronomic efficiency and N surplus) were compared. Four N fertilization treatments were performed: (i) conventional– 150 kg ha−1; (ii) variable with granular fertilizer; (iii) variable with foliar liquid supplement; (iv) no fertilization. According to proximal sensing analysis (Greenseeker Handheld) and crop needs, both variable-rate treatments accounted for 35 kg N ha−1. Cumulative GHGs emissions were not significantly different, leading to the conclusion that the sensor-based N application might not be a GHGs mitigation strategy in current experimental conditions. Results showed that both site-specific fertilizations ensured the maintenance of high yields with a significant N rate reduction (approximately by 75%) and a N use improvement. Variable-rate N fertilization, due to similar yields (~6 tons ha−1) than conventional fertilization and higher protein content in foliar treatment (14%), confirms its effectiveness to manage N during the later phases of growing season.

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Section: Crop Yield and N Content Under Different Fertilizer Sources ...supporting

confidence: 93%

Short-term Response of Greenhouse Gas Emissions from Precision Fertilization on Barley

et al. 2022

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“…Pani Modied Ag NP 46 Fluorescent 0-14 mM 8.9 × 10 −4 M Nitrate detection in crop Crop Circle [47][48][49] Reflectance Not specified Not specified Remote sensing tool, Nutrient and fertilizer studies GreenSeekerTM 50,51 Reflectance Not specified Not specified Handheld, targeted nutrient management decisions FieldScout [52][53][54] Reflectance Not specified Not specified Handheld, Nutrient mapping SPAD-502 21,24,[55][56][57] Chlorophyll 0-80 SPAD units Not specified Non-destructive measurement of leaf chlorophyll concentrations atLeaf CHL Plus 58,59 Chlorophyll 0-60 SPAD units Not specified Assessing and improving plant N management Low-cost chlorophyll meter 57 Chlorophyll Not specified Not specified Self-cultivation, small-scale farming, and crop research…”

Section: Nitrate Detection In Aqueous Mediummentioning

confidence: 99%

Review—Perspectives on the Roles of Real time Nitrogen Sensing and IoT Integration in Smart Agriculture

Shrestha,

Wei

2024

J. Electrochem. Soc.

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Smart agriculture (SA) based on the framework of precision agriculture (PA) is a vital component of sustainable and efficient food production, with nitrogen (N) management playing a pivotal role. However, existing agricultural practices often suffer from low nitrogen use efficiency (NUE), posing a challenge to SA. To tackle this issue, real-time N sensing technologies offer farmers precise and timely information about soil N levels, enabling precise N fertilizer application. Integrating these technologies with the Internet of Things (IoT) can further augment their capabilities, creating a seamless platform for data collection, analysis, and decision-making for great opportunities to improve NUE. Nevertheless, the adoption of real-time N sensing and IoT integration also presents several challenges, including selecting appropriate sensing technologies, effective data mining and management, and acquiring specialized knowledge and training. This review paper provides a comprehensive analysis of the opportunities and challenges associated with real-time N sensing technologies and IoT integration in smart farming. By showcasing best practices and innovative solutions, the paper aims to foster widespread adoption of SA practices, ultimately elevating the sustainability and productivity of agricultural systems.

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“…Thus, a real time N management strategy offering higher N use efficiency and net N saving reduces the threat of global warming. Moreover, precision N management by using optical crop sensor matches with the crop N demand both spatially and temporally, thus increases N use efficiency and mitigate negative environmental impacts [25].…”

Section: Optical Crop Sensor Based N Use and Global Warming Potentialmentioning

confidence: 99%

Achieving Sustainability in Food Systems: Addressing Changing Climate through Real Time Nitrogen and Weed Management in a Conservation Agriculture-Based Maize–Wheat System

et al. 2021

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The proven significance of conservation agriculture (CA) in enhancing agronomic productivity and resource use efficiency across diverse agro-ecologies is often challenged by weed interference and nitrogen (N) immobilization. The collective effect of real-time N and weed management has been scarcely studied. To evaluate the appropriateness of sensor-based N management in conjunction with a broad-spectrum weed control strategy for the maize–wheat system, an experiment was conducted at ICAR—Indian Agricultural Research Institute—in New Delhi, India, during 2015–2016 and 2016–2017. Weed management in maize through Sesbania brown manure followed by post-emergence application of 2,4-D (BM + 2,4-D) in maize and tank-mix clodinafop-propargyl (60 g ha−1) and carfentrazone (20 g ha−1) (Clodi+carfentra) in wheat resulted in minimum weed infestation in both crops. It also resulted in highest maize (5.92 and 6.08 t ha−1) and wheat grain yields (4.91 and 5.4 t ha−1) during 2015–2016 and 2016–2017, respectively. Half of the N requirement, when applied as basal and the rest as guided by Optical crop sensor, resulted in saving 56 and 59 kg N ha−1 in the maize–wheat system, respectively, over 100% N application as farmers’ fertilizer practice during the two consecutive years. Interactive effect of N and weed management on economic yield of maize and wheat was also significant and maximum yield was obtained with 50% N application as basal + rest as per Optical crop sensor and weed management through BM+2,4-D in maize and Clodi+carfentra in wheat crop. The study concludes that real-time N management, complemented with appropriate weed management, improved growth, enhanced agronomic productivity and endorsed N saving under a CA-based maize–wheat system in Trans Indo-Gangetic Plains.

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A Sustainability Assessment of the Greenseeker N Management Tool: A Lysimetric Experiment on Barley

Cited by 8 publications

References 79 publications

Short-term Response of Greenhouse Gas Emissions from Precision Fertilization on Barley

Short-term Response of Greenhouse Gas Emissions from Precision Fertilization on Barley

Review—Perspectives on the Roles of Real time Nitrogen Sensing and IoT Integration in Smart Agriculture

Achieving Sustainability in Food Systems: Addressing Changing Climate through Real Time Nitrogen and Weed Management in a Conservation Agriculture-Based Maize–Wheat System

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