Sensor-based management of container nursery crops irrigated with fresh or saline water

Incrocci, Luca; Marzialetti, P.; Incrocci, Giorgio; Vita, Andrea Di; Balendonck, J.; Bibbiani, Carlo; Spagnol, S.; Pardossi, Alberto

doi:10.1016/j.agwat.2018.09.054

Cited by 22 publications

(12 citation statements)

References 27 publications

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“…Granular matrix sensor cannot be used in substrate because of the very limited range of matric potential of substrate (Whalley et al, 2007;Pardossi et al, 2009). Some dielectric sensors also provide measurements of the electrical conductivity (EC) of the surrounding growing medium (Gallardo et al, 2013;Incrocci et al, 2019), some examples are the WET sensor (Delta-T Devices Ltd., Burwell, Cambridge, United Kingdom) and GS3 EC Sensor, (Meter, Pulman, WA, USA). These EC measurements are of the bulk electrical conductivity (EC B ) of the soil/substrate.…”

Section: Irrigation Scheduling Based On Soil/substrate Moisture Contentmentioning

confidence: 99%

“…The Hilhorst equation (Hilhorst, 2000) estimates EC P from EC B ; however, it's use is time consuming because it requires measurement at different substrate water contents, and there are inconsistent reports of its accuracy. A simplified procedure uses a fixed relation between EC P and EC B , using EC B values measured at full total available water capacity (Incrocci et al, 2019).…”

Section: Irrigation Scheduling Based On Soil/substrate Moisture Contentmentioning

confidence: 99%

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Irrigation management of European greenhouse vegetable crops

Incrocci

Thompson

Fernandez-Fernandez

et al. 2020

Agricultural Water Management

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Section: Irrigation Scheduling Based On Soil/substrate Moisture Contentmentioning

confidence: 99%

Section: Irrigation Scheduling Based On Soil/substrate Moisture Contentmentioning

confidence: 99%

Irrigation management of European greenhouse vegetable crops

Incrocci

Thompson

Fernandez-Fernandez

et al. 2020

Agricultural Water Management

Self Cite

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“…Among the novel and widespread strategies, technologies for saving water and enhancing the water use efficiency are not only among the most studied but have also found great application at an operational level since they impact the disease susceptibility. Attentions has been pointed towards irrigation systems providing drip irrigation and management tools based on real crop needs, instead of a timer-based scheduling [11]. Technologies and DSSs for improving the nutrient use efficiency are among the most studied as well.…”

Section: Introduction 1the Ornamental Plant Sectormentioning

confidence: 99%

Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants

Traversari

Cacini

Galieni³

et al. 2021

Sustainability

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Ornamental plant production constitutes an important sector of the horticultural industry worldwide and fungal infections, that dramatically affect the aesthetic quality of plants, can cause serious economic and crop losses. The need to reduce the use of pesticides for controlling fungal outbreaks requires the development of new sustainable strategies for pathogen control. In particular, early and accurate large-scale detection of occurring symptoms is critical to face the ambitious challenge of an effective, energy-saving, and precise disease management. Here, the new trends in digital-based detection and available tools to treat fungal infections are presented in comparison with conventional practices. Recent advances in molecular biology tools, spectroscopic and imaging technologies and fungal risk models based on microclimate trends are examined. The revised spectroscopic and imaging technologies were tested through a case study on rose plants showing important fungal diseases (i.e., spot spectroscopy, hyperspectral, multispectral, and thermal imaging, fluorescence sensors). The final aim was the examination of conventional practices and current e-tools to gain the early detection of plant diseases, the identification of timing and spacing for their proper management, reduction in crop losses through environmentally friendly and sustainable production systems. Moreover, future perspectives for enhancing the integration of all these approaches are discussed.

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“…Moharana and Dutta [31] used optical sensors for the evaluation of indices related to the leaf relative water content and growth of rice in India. Incrocci et al [35] demonstrated the use of dielectric sensors and probes for controlling irrigation and fertigation of container ornamental nursery stocks in Pistoia, Italy, primarily irrigated via urban and peri-urban wastewater. The study results demonstrated freshwater savings of more than 50%, depending on the ornamental species.…”

Section: Sensor Applications For Water Stewardship In Agrifood Systemsmentioning

confidence: 99%

Sensor Applications in Agrifood Systems: Current Trends and Opportunities for Water Stewardship

Tsolakis

Aivazidou

Srai

2019

Climate

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Growing global food demand and security concerns dictate the need for state-of-the-art food production technologies to increase farming efficiency. Concurrently, freshwater overexploitation in agriculture, especially in arid and water-scarce areas, emphasises the vital role of appropriate water-saving irrigations techniques to ensure natural resources sustainability in food supply networks. In line with the development of automated systems, the use of sensors for water monitoring, indicatively in the cases of smart farming or precision agriculture, could further promote the preservation of freshwater resources. To this end, this research first provides a review of sensor applications for improving sustainability in agrifood systems. We then focus on digital technologies applied for monitoring and assessing freshwater utilisation in the food commodities sector based on academic literature and real-world business evidence. A contextual map is developed for capturing the main technical, environmental and economic factors affecting the selection of sensors for water monitoring and stewardship during agricultural production. This first-effort framework, in terms of sensor-based freshwater monitoring, aims at supporting the agrifood system’s decision makers to identify the optimal sensor applications for improving sustainability and water efficiency in agricultural operations.

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Sensor-based management of container nursery crops irrigated with fresh or saline water

Cited by 22 publications

References 27 publications

Irrigation management of European greenhouse vegetable crops

Irrigation management of European greenhouse vegetable crops

Precision Agriculture Digital Technologies for Sustainable Fungal Disease Management of Ornamental Plants

Sensor Applications in Agrifood Systems: Current Trends and Opportunities for Water Stewardship

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