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Applied Sciences
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Advanced Sensing Technologies for Precision Agriculture
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Advanced Sensing Technologies for Precision Agriculture

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 4567

Special Issue Editors

Dr. Lorena Parra

E-Mail Website
Guest Editor
Research Institute for the Integrated Management of Coastal Zones (IGIC), Polytechnic University of Valencia, 46022 València, Spain
Interests: aquaculture; environmental monitoring; precision agriculture; water quality; wireless sensor networks; chemical sensors; physical sensors; pollution monitoring
Special Issues, Collections and Topics in MDPI journals
Dr. Pedro V. Mauri

E-Mail Website
Guest Editor
Instituto Madrileño de Investigación y Desarrollo Rural, Agrario y Alimentario (IMIDRA), Departamento de Investigación Agroambiental, 28800 Madrid, Spain
Interests: agricultural crops; propagation; agroenergy; precision agriculture; remote sensing; irrigation and fertilization efficiency; turfgrass sustainability; vegetation indices; canopy temperature; RGB image processing and derived agronomical parameters
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The technological revolution of the agriculture sector is boosting the development of different applications, prototypes, and systems to increase the efficiency of the sector. Several solutions have been proposed, most of them addressing a single aspect of agriculture. The vast majority of these solutions are integrated under the precision agriculture concept and allow the monitoring and management of scarce resources. Nonetheless, considering the expected restrictions in farms, advanced systems are needed that help farmers to manage their orchards.

The monitorization of soil and crops to ensure and optimize the use of resources (water, fertilizer, and biostimulants, among others) in just one aspect of precision agriculture. Identifying weed plants to optimize the use of phytosanitary products, the identification of stress in plants, or the monitorization of fruits to identify the best moment to harvest are other relevant issues. The most advanced solutions can blend several of the aforementioned aspects or include new ones and combine different technologies such as sensor networks, drones or robot tractor, among others.

Although the application of monitoring systems in the orchards is one of the most relevant areas of precision agriculture, smart machinery such as robot tractors or programmed drones can be part of the solutions. The inclusion of novel concepts as the Internet of Things and blockchain might endow new functionalities and higher impact on the future precision farming systems.

The abovementioned are only some examples of multiple areas within the scope of this Special Issue “Advanced Sensing Technologies for Precision Agriculture”. Topics of interest include but are not limited to the following:

  • Internet of Things (IoT) for agriculture
  • Smart applications for crops monitoring and management
  • Unmanned aerial vehicles for agriculture
  • Remote sensing data and water irrigation scheduling
  • Remote sensing data and quantification of crop production
  • Sensors for measuring crop quality
  • Sensing technologies for pest management in fields
  • Sensor network deployment for smart agriculture
  • Combination of remote sensing with wireless sensor networks for enhanced precision agriculture
  • Data fusion for orchard monitoring
  • Artificial Intelligence for decision making in agriculture

Dr. Lorena Parra
Dr. Pedro V. Mauri
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • agriculture
  • WSN
  • orchard
  • remote sensing
  • crop monitoring
  • fruit monitoring
  • soil monitoring
  • sensors
  • image processing
  • rural areas
  • deployment

Published Papers (2 papers)

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Research

18 pages, 4682 KiB  
Article
A Modified Pressure–Sinkage Model for Studying the Effect of a Hard Layer in Sandy Loam Soil
by Nihal D. Salman, György Pillinger, Muammel M. Hanon and Péter Kiss
Appl. Sci. 2021, 11(12), 5499; https://0-doi-org.brum.beds.ac.uk/10.3390/app11125499 - 14 Jun 2021
Cited by 3 | Viewed by 1841
Abstract
The applicability of the typical pressure–sinkage models used to characterize the soil’s bearing properties is limited to homogeneous soils (infinite thickness) that have no hard layer. At a given depth, a hard layer can have a considerable impact on the soil’s load-bearing capacity. [...] Read more.
The applicability of the typical pressure–sinkage models used to characterize the soil’s bearing properties is limited to homogeneous soils (infinite thickness) that have no hard layer. At a given depth, a hard layer can have a considerable impact on the soil’s load-bearing capacity. It is thus necessary to alter the pressure–sinkage equation by taking this condition into account when assessing the load-bearing capacity. The present paper aims to determine a simple, high-fidelity model, in terms of soil characterization, that can account for the hard layer affection. To assess hard layer affection in this paper, a plate sinkage test (bevameter) was conducted on sandy loam soil. To this end, the soil was prepared by considering three bulk densities and two soil thickness levels at 7–9% moisture content levels. According to the results, this paper put forth a new perspective and related equations for characterizing bearing performance. The sinkage modulus (k) is an intrinsic soil parameter that has a determined unit of N/cm2 and is significant for managing the bearing performance. The results showed that the new modulus sinkage model incorporates the main factor of the rigid layer effect involving high fidelity that the conventional models have failed to account for. Full article
(This article belongs to the Special Issue Advanced Sensing Technologies for Precision Agriculture)
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21 pages, 5003 KiB  
Article
New Protocol and Architecture for a Wastewater Treatment System Intended for Irrigation
by Jose M. Jimenez, Lorena Parra, Laura García, Jaime Lloret, Pedro V. Mauri and Pascal Lorenz
Appl. Sci. 2021, 11(8), 3648; https://0-doi-org.brum.beds.ac.uk/10.3390/app11083648 - 18 Apr 2021
Cited by 5 | Viewed by 2071
Abstract
Water quality may be affected by aspects such as pollution from industries, agricultural fertilizers and pesticides, and waste produced by humans. This contamination can affect the produce of the fields irrigated by untreated water. Therefore, it is necessary to add a treatment process [...] Read more.
Water quality may be affected by aspects such as pollution from industries, agricultural fertilizers and pesticides, and waste produced by humans. This contamination can affect the produce of the fields irrigated by untreated water. Therefore, it is necessary to add a treatment process in irrigation systems. In this paper, an architecture, communication protocol, and a data analysis algorithm for a wastewater treatment system intended for irrigation are presented. Our system includes a smart group-based wireless sensor network that is able to detect high salinity levels and pollution stains, such as oil spills. When contamination is detected, the water is led into auxiliary canals that perform the biosorption process to treat the water and dump it back into the main canal. Simulations were performed to assess the amount of data stored on the secure digital (SD) card, the consumed bandwidth, and the energy consumption of our proposal. The results show the system has a low bandwidth consumption with a maximum of 2.58 kbps for the setting of two daily data transmissions of the node in the last auxiliary canal. Furthermore, it can sustain the energy consumption in adverse conditions, where the node with the highest energy consumption reaches the lowest energy value of 12,320 mW/h. Full article
(This article belongs to the Special Issue Advanced Sensing Technologies for Precision Agriculture)
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