Abdul Mounem Mouazen

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• PhD
• Group Leader - Precision Soil and Crop Engineering (Precision SCoRing) at Ghent University

Understanding within-field variability is essential for optimizing crop yields, enhancing resource efficiency, and reducing environmental impacts in agriculture. Precision soil maps are crucial tools for achieving these goals. This study assessed the accuracy and practicality of the Stenon FarmLab, a handheld real-time soil sensor, by comparing its...

Real-time assessment of within-field soil fertility variation is crucial for making informed and sustainable decisions, like crop nitrogen (N) fertilisation. Two commonly used soil sensors i.e., visible-near-infrared (vis-NIR) spectroscopy and ion-selective electrodes (ISE) have been reported to successfully estimate various soil macronutrients and...

This evaluated the potential of a micro-NIR sensor with a narrow spectral range of 2000 ~ 2450 nm for predicting SOC and clay contents in agricultural soils under fresh (F) and air-dried (D) soil conditions. It compared the performances of partial least squares regression (PLSR) models for different feature selection methods and discussed whether f...

The integration of advanced technologies, such as soil proximal sensing, remote sensing, and machine learning, has revolutionized agricultural practices, particularly for corn yield prediction. This interdisciplinary approach harnesses the power of cutting-edge sensors to gather high-resolution data on soil conditions coupled with remote sensing te...

On-time and accurate estimation of the soil nitrogen mineralization rate (SNMR) is critical for nitrogen (N) management and protecting the environment. This study evaluated the performance of a visible-to-near-infrared reflectance (vis-NIR) spectroscopy for predicting SNMR for four texture groups. A total of 62 topsoil samples were collected from 1...

Purpose This study examines the willingness of Spanish and Lithuanian grain farmers to adopt a combined approach of preventive site-specific spraying (PSSS) and selective harvesting (SH), two precision agricultural technologies (below referred to as PSSS-SH) aimed at mitigating the risk of mycotoxin contamination in barley and wheat. Methods Data...

Introduction: Rural ecological environment construction, as a pivotal component of the rural revitalization strategy and ecological civilization construction strategy, plays an indispensable role in promoting sustainable agricultural development and safeguarding ecological security. An accurate assessment and prediction of Rural Ecological Environm...

Addressing within-field spatial variability for nitrogen (N) management to avoid over and under-use of nitrogen is crucial for optimizing crop productivity and ensuring environmental sustainability. In this study, we investigated the economic, environmental, and agronomic benefits of variable rate nitrogen application in potato (Solanum tuberosum L...

Manure is used as a source of nutrients and organic matter for agricultural lands, but its unbalanced use has unfortunately made nitrogen (N) and phosphorous (P) leakage to the environment quite common in Western Europe. One way to optimize the use of manure is variable rate (VR) application, wherein within field spatial variability of soil nutrien...

Addressing within field spatial variability for nitrogen management to avoid over and under-use of nitrogen is crucial for optimizing crop productivity and ensuring environmental sustainability. In this study we investigated the economic, environmental and agronomic benefits of variable rate nitrogen application in potato (Solanum tuberosum). An on...

Autonomous agricultural management combats the labor crisis in farming industry and ensures efficient farm operations, whereas variable rate technology has proven to increase resource use efficiency and reduce environmental impacts. This study developed an autonomous robot-driven combined site-specific seeding and nitrogen (N) fertilization solutio...

This study aimed to simulate dynamic irrigation management zones (MZs) in two maize fields for a variable rate hose reel fertigation machine (VRFM) with a four-section boom control. Soil moisture content was measured from nine and four soil moisture sensors in Field 1 (8.2 ha) and Field 2 (2.5 ha), respectively, on different dates during the 2022 c...

Irrigation plays a crucial role in maize cultivation, as watering is essential for optimizing crop yield and quality, particularly given maize's sensitivity to soil moisture variations. In the current study, a hybrid Long Short-Term Memory (LSTM) approach is presented aiming to predict irrigation scheduling in maize fields in Bursa, Turkey. A criti...

This study aimed to simulate dynamic irrigation management zones (MZs) in two maize fields for a variable rate hose-reel fertigation machine (VRFM) with a 4-section boom control. Soil moisture content was measured from nine and four soil moisture sensors in Field 1 (8.2 ha) and Field 2 (2.5 ha), respectively in different dates during the 2022 crop...

Diffuse reflectance spectroscopy has been extensively employed to deliver timely and cost-effective predictions of a number of soil properties. However, although several soil spectral laboratories have been established worldwide, the distinct characteristics of instruments and operations still hamper further integration and interoperability across...

Wild mushrooms and truffles (MT) are important resources, which can contribute to the socioeconomic sustainability of forestry ecosystems. However, not all wild MT are edible. Fast, cheap, and reliable methods that distinguish wild MT species (including the deadly ones) can contribute to valuing these important forest resources. Here, we tested if...

Proper management of within-field variability is crucial for maximizing crop yield, production outcomes and resource use efficiency and reducing environmental impacts. This study evaluated the agroeconomic and environmental feasibilities of site-specific nitrogen fertilization (SNF) in opium poppy (Papaver somniferum L.). On-line visible and near-i...

Soil nitrogen mineralization rate (SNMR) influences crop N uptake and nitrate leaching leading to environmental pollution. This study aims at (i) examining whether visible and near-infrared reflectance spectroscopy (vis-NIRS) can predict SNMR and (ii) investigating if incubation periods and ancillary soil attributes can improve the prediction accur...

The following paper will provide a workflow on how to generate application maps for variable rate irrigation from an ICT standpoint. The application maps are created using a fusion of live soil moisture sensor data, weather data and statistically pre-processed soil and crop data. Generally for the input data the focus was on data which was either o...

A hose-reel irrigation machine is being modified to a hose-reel fertigation machine (HFM) to apply irrigation water and liquid fertilizer through the same irrigation pipe with section control. Water distribution uniformity has the utmost importance, especially when irrigation needs to be done at a site-specific variable rate (VR) using an HFM. The...

Terfezia arenaria is a desert truffle native to the Mediterranean Basin region, highly appreciated for its nutritional and aromatic properties. Despite the increasing interest in this desert truffle, T. arenaria is not listed as an edible truffle authorized for trade in the European Union. Therefore, our objective was to showcase T. arenaria’s nutr...

Since literature is not unanimous about profitability of variable rate application (VRA), a systematic analysis is essential to determine when, where and how to increase the production profits. This paper examines the relationship between the within-field spatial variability of soil fertility and profitability of variable rate fertilisation (VRF) a...

Precision seeding which exploits the variability of soil properties in the field, is one of the most important agrotechnological solutions for smart agriculture, making it possible to increase the agronomic and economic efficiency of the production of one of the world’s most popular crops—winter wheat. The aim of this work was to investigate the im...

(1) Background: Increasing salinity, further potentiated by climate change and soil degradation, will jeopardize food security even more. Therefore, there is an urgent need for sustainable agricultural practices capable of maintaining high crop yields despite adverse conditions. Here, we tested if wheat, a salt-sensitive crop, could be a good reser...

The technological process of seeding is very important in the production of cereals because seed germination, growth, yield and the qualitative parameters depend on the quality of seeding. Variable rate and variable depth precision seeding technology is relatively new and has many unanswered questions. The aim of this work was to investigate the in...

The analysis time used for the diagnosis of soil fertility attributes using portable X-ray fluorescence spectroscopy (XRF) sensors (between 30 and 90 s) is too long for in situ applications. The present study aimed at evaluating the trade-off between dwell time and XRF performance for assessing soil fertility attributes. A total of 102 soil samples...

A new geological epoch—the Anthropocene—was voted by the 34-member Anthropocene Working Group (AWG) to mark the profound ways in which humans have altered our planet [...]

An ideal and efficient nitrogen (N) recommendation for precision fertilization (PF) should account for potential soil mineralizable N. This study aimed at estimating management zone (MZ) specific soil N mineralization rate (SNMR) of unamended soils. A total of 76 soil samples were collected from 21 MZs across 5 fields. An aerobic laboratory incubat...

Despite recent studies of map-based site-specific seeding (SSS) revealing improved agronomic and economic outcomes over uniform rate seeding (URS), to our best knowledge no visible and near infrared spectroscopy (vis-NIRS) sensor-based SSS studies exist to date. This study aimed to develop and evaluate an automated sensor-based SSS technology for s...

Estimating available nutrients and pH in soils has been considered an essential step to improve soil fertility for better crop growth and yield. Classical or conventional laboratory analyses are time-consuming, expensive and expose chemical agents to the environment, hence, do not fulfil the requirement of high sampling resolution data for Precisio...

The coupling cycles of soil carbon (C), nitrogen (N), and phosphorus (P) have a significant impact on biogeochemical processes and ecosystem services. For centuries, large areas of floodplain wetlands in China have been extensively reclaimed for agricultural purposes due to population growth. However, little is known about the evolution of soil C:N...

The soil sorption coefficient (Kd) of glyphosate mainly controls its transport and fate in the environment. Laboratory-based analysis of Kd is laborious and expensive. This study aimed to test the feasibility of visible near-infrared spectroscopy (vis–NIRS) as an alternative method for glyphosate Kd estimation at a country scale and compare its acc...

Considering the more frequent and longer drought events due to climate change, improving plant drought tolerance became a priority. The search for plant growth promoting rhizobacteria (PGPR) able to improve plant drought tolerance has been long addressed, but with inconsistent results. Here, we summarize the PGPR mechanisms that improve plant droug...

Urban soils and cultural layers may accumulate carbon over a long period, so certain carbon stocks may be stored beneath cities. Studies have shown that the turnover rate of soil inorganic carbon (SIC) is also fast, and its role in global carbon pool and regulation of atmospheric CO2 should be noticed. Visible and near infrared (vis–NIR) spectrosco...

Classifying soil texture is critical to investigate soil processes and functions influencing agronomic decisions and environmental stewardship. Despite the multiple benefits together with accurate estimation potential of visible and near-infrared reflectance spectroscopy (Vis-NIRS) over the traditional method of texture analysis, the prediction acc...

Diffuse reflectance spectroscopy has been extensively employed to deliver timely and cost-effective predictions of a number of soil properties. However, although several soil spectral laboratories have been established worldwide, the distinct characteristics of instruments and operations still hamper further integration and interoperability across...

Fusarium head blight (FHB) is among the most devastating fungal diseases in cereal crops, reducing yield, and affecting human and livestock health through the production of mycotoxin. Despite application of fungicides, complete eradication of disease is virtually impossible in the field. There is a need for a disease detection technology during lat...

Despite recent studies of map-based site-specific seeding (SSS) revealed improved agronomic and economic outcomes over uniform rate seeding (URS), no sensor-based SSS exists to date. This study aimed to develop and evaluate an automated sensor-based SSS technology for silage maize production. An on-line visible and near-infrared reflectance spectro...

Since nitrogen (N) mineralization governs soil and plant N dynamics, assessing the soil N mineralization rate (SNMR) is crucial for agriculture as well as environmental stewardship. Traditional methods to determine SMNR are labor-and time-intensive. This study aims at predicting SNMR using a visible and near-infrared reflectance spectroscopy (vis-N...

Accurate quantification of urban soil organic carbon (SOC) is essential for understanding anthropogenic changes and further guiding effective city managements. Visible and near infrared (vis–NIR) spectroscopy can monitor the SOC content in a time- and cost-effective manner. However, processes and mechanisms dominating the relationships between SOC...

Accurate assessment of key soil attributes such as soil organic carbon (OC), available phosphorus (P), and available potassium (K) using mid‐infrared spectroscopy (MIRS) is essential for better soil management in precision agriculture. However, the calibration of the portable version of MIRS is more challenging than the benchmark technologies, henc...

The aim of this study is the detection of adulteration in honey by a microcontroller measurement device. For this purpose, 18 pure honey samples from Sidr, Locoweed and Citrus honey were prepared, whose physicochemical characteristics, including moisture content and ⁰Brix, pH, color and ash content were measured. To detect impurities in honey, elec...

Exploring the effects of straw return and environmental factors on the spatiotemporal variation of soil organic matter (SOM) in black soil regions is essential for soil carbon sequestration research. However, studies seldom quantified the effects of long-term straw return on a long-term SOM variation at a regional scale in typical black soil areas....

This study evaluates the near-infrared spectroscopy (NIR) and mid-infrared spectroscopy (MIR) complementary spectral ranges to predict six different quality traits, which include chemical components such as amylose, starch, protein, glucose, cellulose, and moisture contents, in tubers and root flours. The sequential orthogonalized partial least squ...

In this study, we examined the interaction between arsenic (As) and nutrients in paddy soil which received pig manure and chemical fertilizers for 36 years (since 1984). The treatments consisted of: CK (without fertilization); NPK (chemical nitrogen, phosphorus and potassium fertilization); NPK30%M (70% NPK plus 30% manure); NPK50%M (50% NPK plus 5...

The typically high heterogeneity of urban soil properties challenges their characterization and interpretation. The objective of this study was to investigate if proximally sensed volume-specific magnetic susceptibility and/or geochemical soil properties can uncover differences in anthropogenic, lithogenic and pedological contributions in, and betw...

Although the variable-rate manure application (VRMA) offers a promising solution to overcome the shortcomings of the conventional uniform-rate (UR) application, effectively incorporating this technique into precision agriculture solutions presents a substantial challenge. This study entailed developing a quantitative analysis tool to calculate manu...

The detection and mapping of plant-extractable potassium (K a) using proximal soil sensing and data fusion (DF) techniques are essential to optimise K 2 O fertiliser application, improve crop yield, and minimise environmental and financial costs. This work evaluates the potential of combined use of portable gamma ray and x-ray fluo-rescence spectro...

Early diagnosis of fusarium head blight (FHB) presence and intensity in wheat can assist decision support for reducing disease spread and minimizing mycotoxin contamination in the grain. Although hyperspectral data was used successfully for the detection of FHB, using the traditional machine learning methods, these rely on time-consuming manual fea...

An ideal and efficient N recommendation for precision fertilization should account for potential soil mineralizable N. This study aimed at estimating management zone (MZ) specific soil N mineralization rate (SNMR) of unamended soils. A total of 76 soil samples were collected from previously delineated 21 MZs distributed across 5 arable fields in Fl...

Researchers have shown increasing interest in hyperspectral imaging for detecting potato late blight disease (Phytophthora infestans). Because it is difficult to get accurate spectral signatures of disease development in field conditions, especially at early disease stages, previous works focused on laboratory measurements under controlled conditio...

Uniform rate seeding (URS) density may result in under- or over-optimal plant population that negatively affects crop growth and yield. Site-specific seeding (SSS) is one of the solutions to manage in-field soil variation by optimizing the input seed rate to match soil fertility. This study has evaluated the agronomic and economic response of maize...

Chemical analytical methods for metal analysis in soils are laborious, time-consuming and costly. This paper aims to evaluate the potential of short-range (SR) and full-range (FR) visible and infrared spectroscopy (vis-NIR) combined with linear and nonlinear calibration methods to estimate concentrations of nickel (Ni), cobalt (Co), cadmium (Cd), l...

Previous works indicate that data fusion, compared to single data modelling can improve the assessment of soil attributes using spectroscopy. In this work, two different kinds of proximal soil sensing techniques i.e., mid-infrared (MIR) and X-ray fluorescence (XRF) spectroscopy were evaluated, for assessment of seven fertility attributes. These soi...

The typically high lateral and vertical variation of urban soil properties challenges the interpretation and prediction of their spatial patterns. The aim of this study was to investigate physico-chemical properties of, and pedogenesis in urban soils with different parent materials, and to evaluate whether information on land use, time since urbani...

The quality of online visible and near infrared (vis-NIR) soil spectra can be deteriorated by interferences of ambient light, and debris e.g., stones, roots or plant residues among others, which considerably reduces the accuracy of the predictions. Filtering of very noisy and non-soil spectra from good-quality soil spectra needs to be performed pri...

External factors including moisture content negatively affect the prediction accuracy of soil organic carbon (SOC) using on-line visible and near-infrared (vis-NIR) spectroscopy. This study compared the performances of four algorithms to remove the moisture content effect [direct standardization (DS), piecewise direct standardization (PDS), externa...

Soil surveys with line-scanning platforms appear to have great advantages over the traditional methods used to collect soil information for the development of field-scale soil mapping and applications. These carry VNIR (visible and near infrared) spectrometers and have been used in recent years extensively for the assessment of soil fertility at th...

The Laser Induced Breakdown Spectroscopy (LIBS) is a promising technique for soil fertility analysis in a rapid and environmentally friendly way. This application requires the selection of an optimal modelling procedure capable of handling the high spectral resolution of LIBS. This work aimed at comparing different modelling methods of LIBS data fo...

In agriculture, maintaining or monitoring soil nutrients is one of the most important factors that must be done to make sure crops grow healthy and get enough nutrients from the soil. The conventional method to measure the soil nutrient is by laboratory test which takes time to get the result. To overcome this problem, a measurement system that can...

Conventionally, the detection and notification of the fire accident are based on the siren triggered by the fire alarm system. However, this system needs human interaction to call the fire department to inform the fire location. Therefore, an intelligent fire alarm system is highly in demand. The intelligent fire alarm system is a solution that can...

In precision agriculture (PA) practices, the accurate delineation of management zones (MZs), with each zone having similar characteristics, is essential for map-based variable rate application of farming inputs. However, there is no consensus on an optimal clustering algorithm and the input data format. In this paper, we evaluated the performances...

Aggregate stability (AS) is an important parameter to evaluate soil resistance to erosion. The conventional determination methods to measure AS are time consuming, difficult and labour intensive. Visible (vis) and near infrared (NIR) spectroscopy could be a better alternative to the conventional determination methods of AS. This study explored the...

Smart greenhouse farming has emerged as one of the solutions to global food security, where farming productivity can be managed and improved in an automated manner. While it is known that plant development is highly dependent on the quantity and quality of light exposure, the specific impact of the different light properties is yet to be fully unde...

Spectral techniques such as visible-to-near-infrared (VIS-NIR) and mid-infrared (MIR) spectroscopies have been regarded as effective alternatives to laboratory-based methods for determining soil organic carbon (SOC). Research to explore the potential of the fusion of VIS-NIR and MIR absorbance for improving SOC prediction is needed, since each indi...

This study evaluated the agronomic and economic prospects of Site-Specific Seeding (SSS) for consumption and seed potato production based on Management Zone (MZ) maps delineated with the fusion of multiple soil and crop attributes at four experimental sites in Belgium. Soil pH, organic carbon, P, K, Mg, Ca, Na, moisture content, cation exchange cap...

Apple is one of the most widely consumed fresh fruit in the world. Simulation of kinetics and physical aspects of fruit could be considered as an emerging technology in most of harvest and postharvest phases. Impact damage of fruit is a common phenomenon during handling and transportation, therefore, in this work, experimental and computational ana...

The potential of hyperspectral measurements for early disease detection has been investigated by many experts over the last 5 years. One of the difficulties is obtaining enough data for training and building a hyperspectral training library. When the goal is to detect disease at a previsible stage, before the pathogen has manifested either its firs...

Soil contamination by heavy metals is of particular concern, due to the direct negative impact on crop yield, food quality and human health. Although the conventional approach to monitor heavy metals relies on field sampling and lab analysis, the proliferation in the use of portable spectrometers has reduced the cost and time of investigation. Howe...

Leek white tip disease is one of the key yield-limiting factors in leek production. It leads to socio-economic and environmental costs due to the need for fungicide applications. Precision agriculture aims at reducing these costs, while maintaining or improving farmer revenues. To be able to apply variable rate fungicides, in-field disease detectio...

Current site-specific seeding (SSS) recommendations are based on two approaches, whose comparative performance for maximising yield and profit is unknown. These are: the Kings and Robin Hood approaches recommending the highest seed density for the highest and poorest fertility zones, respectively. This study compared the agronomic and economic perf...

Food and Agriculture Organization of the United Nations (FAO)