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Journal articles on the topic 'Agronomic modelling'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

Tims, W., and D. C. Faber. "Modelling food policies and food production." Netherlands Journal of Agricultural Science 34, no. 3 (1986): 283–94. http://dx.doi.org/10.18174/njas.v34i3.16782.

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The Centre for World Food Studies in Amsterdam is developing economic policy models focussing on food and agriculture, and incorporating detailed agronomic information. The structure of these national models is such that they can be linked in order to analyse international trade. The developing country models emphasize and analyse the problem of hunger and poverty through the role of agronomic and livestock constraints, the changes in the distribution of income between agriculture and non-agriculture as well as within agriculture. Model alternatives can be analysed through changes in various p

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KEURENTJES, JOOST J. B., JAAP MOLENAAR, and BAS J. ZWAAN. "Predictive modelling of complex agronomic and biological systems." Plant, Cell & Environment 36, no. 9 (2013): 1700–1710. http://dx.doi.org/10.1111/pce.12156.

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Rokia, S., G. Séré, C. Schwartz, et al. "Modelling agronomic properties of Technosols constructed with urban wastes." Waste Management 34, no. 11 (2014): 2155–62. http://dx.doi.org/10.1016/j.wasman.2013.12.016.

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4

Akinremi, O. O., and S. M. McGinn. "Usage of soil moisture models in agronomic research." Canadian Journal of Soil Science 76, no. 3 (1996): 285–95. http://dx.doi.org/10.4141/cjss96-035.

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Soil moisture controls many important processes in the soil-plant system and the extent of these processes cannot be quantified without knowing moisture status of the root zone. Of agronomic importance these include, seedling emergence, evapotranspiration, mineralization of the soil organic fraction, surface runoff, leaching and crop yield. Many models have been developed to simulate these processes based on algorithms of varying degrees of complexity that describe the dynamic nature of soil moisture at different temporal and spatial scales. This paper reviews the direct applications of soil m

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Vitale, Paolo, Giovanni Laidò, Gabriella Dono, et al. "Univariate and multivariate genomic prediction for agronomic traits in durum wheat under two field conditions." PLOS ONE 19, no. 11 (2024): e0310886. http://dx.doi.org/10.1371/journal.pone.0310886.

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Genomic prediction (GP) has been evaluated in durum wheat breeding programs for several years, but prediction accuracy (PA) remains insufficient for some traits. Recently, multivariate (MV) analysis has gained much attention due to its potential to significantly improve PA. In this study, PA was evaluated for several agronomic traits using a univariate (UV) model in durum wheat, subsequently, different multivariate genomic prediction models were performed to attempt to increase PA. The panel was phenotyped for 10 agronomic traits over two consecutive crop seasons and under two different field

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White, T. A., and V. O. Snow. "A modelling analysis to identify plant traits for enhanced water-use efficiency of pasture." Crop and Pasture Science 63, no. 1 (2012): 63. http://dx.doi.org/10.1071/cp11250.

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As pressure on water resources increases, pasture species that express traits for improved water-use efficiency (WUE) while maintaining desirable agronomic and production characteristics are needed. The objective of this study was to use a biophysical modelling analysis to test the sensitivity of key pasture plant functional traits on WUE. Biomass production and water use of monocultures of perennial ryegrass (Lolium perenne L.) with varying plant traits were determined under a range of soil, climate, and irrigation conditions. Five plant traits (temperature sensitivity, light extinction, root

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Janssen, Esmée M., Monique C. M. Mourits, Alfons G. J. M. Oude Lansink, and H. J. van der Fels-Klerx. "Incentives to Stimulate European Wheat Farmers to Adapt Their Fusarium Species Mycotoxin Management." Toxins 13, no. 2 (2021): 144. http://dx.doi.org/10.3390/toxins13020144.

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Fusarium species infection in wheat can lead to Fusarium Head Blight (FHB) and contamination with mycotoxins. To fully exploit more recent insights into FHB and mycotoxin management, farmers might need to adapt their agronomic management, which can be stimulated through incentives. This study aimed to identify incentives to stimulate European farmers to adapt their agronomic management to reduce FHB and related mycotoxins in wheat. A questionnaire was distributed among 224 wheat farmers from Italy, the Netherlands, Serbia, and the United Kingdom. Using the respondents’ data, Bayesian Network m

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Sipols, Ana E., Rubén Valcarce-Diñeiro, Maria Teresa Santos-Martín, Nilda Sánchez, and Clara Simón de Blas. "Time Series of Quad-Pol C-Band Synthetic Aperture Radar for the Forecasting of Crop Biophysical Variables of Barley Fields Using Statistical Techniques." Remote Sensing 14, no. 3 (2022): 614. http://dx.doi.org/10.3390/rs14030614.

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This paper aims to both fit and predict crop biophysical variables with a SAR image series by performing a factorial experiment and estimating time series models using a combination of forecasts. Two plots of barley grown under rainfed conditions in Spain were monitored during the growing cycle of 2015 (February to June). The dataset included nine field estimations of agronomic parameters, 20 RADARSAT-2 images, and daily weather records. Ten polarimetric observables were retrieved and integrated to derive the six agronomic and monitoring variables, including the height, biomass, fraction of ve

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Zaffaroni, Marta, Loup Rimbaud, Ludovic Mailleret, Nik J. Cunniffe, and Daniele Bevacqua. "Modelling interference between vectors of non-persistently transmitted plant viruses to identify effective control strategies." PLOS Computational Biology 17, no. 12 (2021): e1009727. http://dx.doi.org/10.1371/journal.pcbi.1009727.

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Aphids are the primary vector of plant viruses. Transient aphids, which probe several plants per day, are considered to be the principal vectors of non-persistently transmitted (NPT) viruses. However, resident aphids, which can complete their life cycle on a single host and are affected by agronomic practices, can transmit NPT viruses as well. Moreover, they can interfere both directly and indirectly with transient aphids, eventually shaping plant disease dynamics. By means of an epidemiological model, originally accounting for ecological principles and agronomic practices, we explore the cons

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10

Jeuffroy, M. H., B. Ney, and A. Ourry. "Integrated physiological and agronomic modelling of N capture and use within the plant." Journal of Experimental Botany 53, no. 370 (2002): 809–23. http://dx.doi.org/10.1093/jexbot/53.370.809.

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11

Degryse, Fien, Rodrigo C. da Silva, Roslyn Baird, Ismail Cakmak, Mustafa Atilla Yazici, and Mike J. McLaughlin. "Comparison and modelling of extraction methods to assess agronomic effectiveness of fertilizer zinc." Journal of Plant Nutrition and Soil Science 183, no. 2 (2020): 248–59. http://dx.doi.org/10.1002/jpln.201900340.

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12

Jones, G., Ch Gée, and F. Truchetet. "Modelling agronomic images for weed detection and comparison of crop/weed discrimination algorithm performance." Precision Agriculture 10, no. 1 (2008): 1–15. http://dx.doi.org/10.1007/s11119-008-9086-9.

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13

Guo, Yuming, Haitao Xiang, Zhenwang Li, Fei Ma, and Changwen Du. "Prediction of Rice Yield in East China Based on Climate and Agronomic Traits Data Using Artificial Neural Networks and Partial Least Squares Regression." Agronomy 11, no. 2 (2021): 282. http://dx.doi.org/10.3390/agronomy11020282.

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Rice yield is not only influenced by factors of varieties and managements, but also by environmental factors. In this study, agronomic trait data of rice and climate data in eastern China were collected, and rice yields were predicted using a variety of algorithms, including the non-linear tool of feed-forward backpropagation neural networks (FFBN) and the linear model of partial least squares regression (PLSR). The results showed that both the agronomic traits and the climate data were significantly related with rice yield. The PLSR model showed that covariates occurred among the parameters,

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Farbo, A., F. Sarvia, S. De Petris, and E. Borgogno-Mondino. "PRELIMINARY CONCERNS ABOUT AGRONOMIC INTERPRETATION OF NDVI TIME SERIES FROM SENTINEL-2 DATA: PHENOLOGY AND THERMAL EFFICIENCY OF WINTER WHEAT IN PIEMONTE (NW ITALY)." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 863–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-863-2022.

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Abstract. TELECER project is supported through Rural Development Programme regional action of EU CAP and is aimed at providing Precision Agriculture–devoted services for cereals monitoring in the Piemonte Region (NW-Italy) context. In this work authors explored some general and preliminary issues mainly aimed at demonstrating and formalizing those evident relationships existing between NDVI image time series and the main ordinary agronomic parameters, with special focus on phenology and thermal efficiency of crops as related to Growing Degrees Day (GDD). Winter wheat was investigated and relat

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Evershed, David, Jason Brook, Sandy Cowan, et al. "Photothermal Integration of Multi-Spectral Imaging Data via UAS Improves Prediction of Target Traits in Oat Breeding Trials." Agronomy 15, no. 7 (2025): 1583. https://doi.org/10.3390/agronomy15071583.

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The modelling and prediction of important agronomic traits using remotely sensed data is an evolving science and an attractive concept for plant breeders, as manual crop phenotyping is both expensive and time consuming. Major limiting factors in creating robust prediction models include the appropriate integration of data across different years and sites, and the availability of sufficient genetic and phenotypic diversity. Variable weather patterns, especially at higher latitudes, add to the complexity of this integration. This study introduces a novel approach by using photothermal time units

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Cabrera-Rodríguez, Alejandra, Erika Nava-Reyna, Ricardo Trejo-Calzada, et al. "Effect of Organic and Conventional Systems Used to Grow Pecan Trees on Diversity of Soil Microbiota." Diversity 12, no. 11 (2020): 436. http://dx.doi.org/10.3390/d12110436.

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Agronomic management modifies the soil bacterial communities and may alter the carbon fractions. Here, we identify differences in several chemical and biological soil variables, as well as bacterial composition between organic (Org) and conventional (Conv) agronomic management in pecan (Carya illinoinensis) orchards located in Coahuila, Mexico. The analyzed variables were pH, N, P, K, soil organic matter, organic matter quality, soil organic carbon, C/N ratio, carbon fractions, microbial biomass carbon, easily extractable Glomalin, colony-forming units, CO2 emissions, and the enzyme activity.

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Alehile, Kehinde Samuel and Joseph Sesan. "Modelling the impact of climate change on Nigeria’s agricultural sector: A nonlinear modelling approach." International Journal of Advanced Economics 7, no. 4 (2025): 106–19. https://doi.org/10.51594/ijae.v7i4.1866.

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Climate change is posing increasing concerns to agricultural output and food security worldwide. This study explores the asymmetric influences of climatic conditions on Nigeria's agricultural output using yearly time series data from 1986 to 2022. This is based on the fact that climate change manifestations in the agriculture sector come in the form of an increase or decrease in climatic variables such as rainfall or temperature. Therefore, the use of an autoregressive distributed lag (ARDL) approach models the nonlinear relationships between temperature, rainfall and agricultural output. Rain

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VÂRBAN, Rodica, Roxana VIDICAN, Andreea D. ONA, et al. "Modelling plant morphometric parameters as predictors for successful cultivation of some medicinal Agastache species." Notulae Botanicae Horti Agrobotanici Cluj-Napoca 50, no. 1 (2022): 12638. http://dx.doi.org/10.15835/nbha50112638.

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Researches carrying evidence for various uses and bioactive principles of Agastache spp. are justifying the upscaling into cultivation of these medicinal species. But, hindrances in their cultivation exist due to the insufficient documentation of their biology under field conditions. Because productivity of these medicinal species (herba) is ensured by the combined contribution of plant agronomic traits, these are related to the feasibility of the crop and therefore, can be used as predictors for successful cultivation. The aim of this study was to evaluate comparatively four valuable Agastach

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19

Herridge, D. F., J. E. Turpin, and M. J. Robertson. "Improving nitrogen fixation of crop legumes through breeding and agronomic management: analysis with simulation modelling." Australian Journal of Experimental Agriculture 41, no. 3 (2001): 391. http://dx.doi.org/10.1071/ea00041.

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The nitrogen fixed by legumes is a valuable resource in agriculture, with crop legumes alone contributing as much as 20% of the nitrogen requirements of the world’s grain and oilseed crops. Increasing legume nitrogen fixation through genetic improvement and more efficient management would have large economic benefits. Breeding for improved nitrogen fixation has, to a large extent, not been successful. Suggested reasons include the difficulty in combining single traits like nitrogen fixation with other traits, such as disease resistance, seed quality and yield, a lack of focus of programs and a

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Currie, Dougal, Tariq Laattoe, Glen Walker, Juliette Woods, Tony Smith, and Kittiya Bushaway. "Modelling Groundwater Returns to Streams From Irrigation Areas with Perched Water Tables." Water 12, no. 4 (2020): 956. http://dx.doi.org/10.3390/w12040956.

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Quantifying the magnitude and timing of groundwater returns to streams from irrigation is important for the management of natural resources in irrigation districts where the quantity or quality of surface water can be affected. Deep vadose zones and perched water tables can complicate the modelling of these fluxes, and model outputs may be biased if these factors are misrepresented or ignored. This study was undertaken in the Murray Basin in southern Australia to develop and test an integrated modelling method that links irrigation activity to surface water impacts by accounting for all key hy

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21

Connor, D. J., H. van Rees, and P. S. Carberry. "Impact of systems modelling on agronomic research and adoption of new practices in smallholder agriculture." Journal of Integrative Agriculture 14, no. 8 (2015): 1478–89. http://dx.doi.org/10.1016/s2095-3119(15)61069-3.

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22

Sadras, V. O., P. T. Hayman, D. Rodriguez, et al. "Interactions between water and nitrogen in Australian cropping systems: physiological, agronomic, economic, breeding and modelling perspectives." Crop and Pasture Science 67, no. 10 (2016): 1019. http://dx.doi.org/10.1071/cp16027.

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This paper reviews the interactions between water and nitrogen from physiological, agronomic, economic, breeding and modelling perspectives. Our primary focus is wheat; we consider forage crops, sorghum and legumes where relevant aspects of water–nitrogen interactions have been advanced. From a physiological perspective, we ask: How does nitrogen deficit influence the water economy of the crop? How does water deficit influence the nitrogen economy of the crop? How do combined water and nitrogen deficit affect crop growth and yield? We emphasise synergies, and the nitrogen-driven trade-off betw

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23

Ripoche, Aude, Jean-Pierre Rellier, Roger Martin-Clouaire, Nakié Paré, Anne Biarnès, and Christian Gary. "Modelling adaptive management of intercropping in vineyards to satisfy agronomic and environmental performances under Mediterranean climate." Environmental Modelling & Software 26, no. 12 (2011): 1467–80. http://dx.doi.org/10.1016/j.envsoft.2011.08.003.

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Bista, DR, LP Amgain, and S. Shrestha. "Food security scenario, challenges, and agronomic research directions of Nepal." Agronomy Journal of Nepal 3 (October 23, 2013): 42–52. http://dx.doi.org/10.3126/ajn.v3i0.8985.

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The interim constitution of Nepal has mentioned “food sovereignty as fundamental right in its constituents 18.3". However, Nepal is experiencing decline in food security situation due to collision of domestic, national and international crises viz. poor agricultural growth, declined national agricultural priority, global climate change, global food crisis, and political instability. There is domination of small and marginal holders in Nepalese agriculture. Although the share of agriculture in country’s GDP is decreasing, it is still 33%, and the highest among the South Asian countries. Cereals

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Turner, Neil C., Abraham Blum, Mehmet Cakir, Pasquale Steduto, Roberto Tuberosa, and Neil Young. "Strategies to increase the yield and yield stability of crops under drought – are we making progress?" Functional Plant Biology 41, no. 11 (2014): 1199. http://dx.doi.org/10.1071/fp14057.

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The objective of the InterDrought conferences is to be a platform for debating key issues that are relevant for increasing the yield and yield stability of crops under drought via integrated approaches. InterDrought-IV, held in Perth, Australia, in September 2013, followed previous InterDrought conferences in bringing together researchers in agronomy, soil science, modelling, physiology, biochemistry, molecular biology, genetics and plant breeding. Key themes were (i) maximising water productivity; (ii) maximising dryland crop production; (iii) adaptation to water-limited environments; (iv) pl

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Brunetti, Matteo, Vincenzo Capasso, Matteo Montagna, and Ezio Venturino. "A mathematical model for Xylella fastidiosa epidemics in the Mediterranean regions. Promoting good agronomic practices for their effective control." Ecological Modelling 432 (September 2020): 109204. http://dx.doi.org/10.1016/j.ecolmodel.2020.109204.

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Troldborg, Mads, Zisis Gagkas, Andy Vinten, Allan Lilly, and Miriam Glendell. "Probabilistic modelling of the inherent field-level pesticide pollution risk in a small drinking water catchment using spatial Bayesian belief networks." Hydrology and Earth System Sciences 26, no. 5 (2022): 1261–93. http://dx.doi.org/10.5194/hess-26-1261-2022.

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Abstract. Pesticides are contaminants of priority concern that continue to present a significant risk to drinking water quality. While pollution mitigation in catchment systems is considered a cost-effective alternative to costly drinking water treatment, the effectiveness of pollution mitigation measures is uncertain and needs to be able to consider local biophysical, agronomic, and social aspects. We developed a probabilistic decision support tool (DST) based on spatial Bayesian belief networks (BBNs) that simulates inherent pesticide leaching risk to ground- and surface water quality to inf

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Deng, Chenda, Yao Zhang, and Ryan T. Bailey. "Evaluating crop-soil-water dynamics in waterlogged areas using a coupled groundwater-agronomic model." Environmental Modelling & Software 143 (September 2021): 105130. http://dx.doi.org/10.1016/j.envsoft.2021.105130.

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Rowe, Rebecca L., Cahyo Prayogo, Simon Oakley, et al. "Improved Coffee Management by Farmers in State Forest Plantations in Indonesia: An Experimental Platform." Land 11, no. 5 (2022): 671. http://dx.doi.org/10.3390/land11050671.

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The Indonesian state forest managers have accepted farmer-managed coffee agroforestry in their estates as part of their social forestry program. Access by local farming communities to state-owned plantation forestry supports public motivation to maintain forest cover. However, balancing the expectations and needs of forest managers with those of the local farming communities is not easy. Coffee yields in Indonesia are lower than those of neighboring countries, suggesting that there is scope for improvement. Here we describe an experimental research platform developed through an international c

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30

Chen, Chao, Andrew Fletcher, Roger Lawes, Jens Berger, and Michael Robertson. "Modelling phenological and agronomic adaptation options for narrow-leafed lupins in the southern grainbelt of Western Australia." European Journal of Agronomy 89 (September 2017): 140–47. http://dx.doi.org/10.1016/j.eja.2017.05.005.

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Picchioni, Fiorella, Geoffrey P. Warren, Smilja Lambert, et al. "Valorisation of Natural Resources and the Need for Economic and Sustainability Assessment: The Case of Cocoa Pod Husk in Indonesia." Sustainability 12, no. 21 (2020): 8962. http://dx.doi.org/10.3390/su12218962.

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The uptake of innovative technologies and practices in agriculture aimed at the valorisation of natural resources can be scant in Low and Middle Income Countries (LMICs). Integration of financial viability assessments with farmers and environmental evaluations can help to understand some aspects of the low uptakes of innovations. Using the case study of Cocoa Pod Husk (CPH) valorisation in Indonesia, we provide insights into (i) a choice modelling method to assess the economic viability of CPH valorisation and (ii) an agronomic trial assessing the consequences on soil quality of diverting CPH

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Fischer, R. A. "Wheat physiology: a review of recent developments." Crop and Pasture Science 62, no. 2 (2011): 95. http://dx.doi.org/10.1071/cp10344.

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This review focuses on recent advances in some key areas of wheat physiology, namely phasic development, determination of potential yield and water-limited potential yield, tolerance to some other abiotic stresses (aluminium, salt, heat shock), and simulation modelling. Applications of the new knowledge to breeding and crop agronomy are emphasized. The linking of relatively simple traits like time to flowering, and aluminium and salt tolerance, in each case to a small number of genes, is being greatly facilitated by the development of molecular gene markers, and there is some progress on the f

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Hill, J. O., M. J. Robertson, B. C. Pengelly, A. M. Whitbread, and C. A. Hall. "Simulation modelling of lablab (Lablab purpureus) pastures in northern Australia." Australian Journal of Agricultural Research 57, no. 4 (2006): 389. http://dx.doi.org/10.1071/ar05263.

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The capability to simulate lablab production across a range of environments in northern Australia provides a useful tool for exploring agronomic and management options and risk assessments for the crop. This paper reports on the development and testing of a model of lablab (annual cultivar cv. Highworth and perennial cultivar cv. Endurance) growth, designed for use in the cropping systems simulator, APSIM (Agricultural Production Systems Simulator). Parameters describing leaf area expansion, biomass accumulation, and partitioning were derived from field experiments, and other essential paramet

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Martínez-Valderrama, Jaime, Javier Ibáñez, and Francisco J. Alcalá. "AQUACOAST: A Simulation Tool to Explore Coastal Groundwater and Irrigation Farming Interactions." Scientific Programming 2020 (May 14, 2020): 1–20. http://dx.doi.org/10.1155/2020/9092829.

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In the framework of coastal groundwater-dependent irrigation agriculture, modelling becomes indispensable to know how this renewable resource responds to complex (usually not conceptualized nor monitored) biophysical, social, and economic interactions. Friendly user interfaces are essential to involve nonmodeling experts in exploiting and improving models. Decision support systems (DSS) are software systems that integrate models, databases, or other decision aids and package them in a way that decision makers can use. This paper addresses these two issues: firstly with the implementation of a

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Kraievskyi, Volodymyr, Oleksandra Smirnova, and Sviatoslav Bohdan. "MODELLING AGRICULTURAL PRODUCTIVITY IN THE MANAGEMENT OF THE PRODUCTION COMPONENT OF ECONOMIC SECURITY OF AGRIBUSINESS." Економіка розвитку систем 6, no. 1 (2024): 125–33. http://dx.doi.org/10.32782/2707-8019/2024-1-16.

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The article carries out an intersectoral study of the influence of meteorological and agrotechnical factors on the productivity of agricultural production (on the example of sugar beet) as a key indicator of the production component of the economic security of agribusiness. It is determined that in the framework of the experiments carried out to increase the productivity of sugar beet, insufficient attention is paid to the impact of meteorological conditions prevailing in the year of the experiments, which, in turn, may cast doubt on the reliability of the results obtained, for example, in the

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Owusu Danquah, Eric, Yacob Beletse, Richard Stirzaker, et al. "Monitoring and Modelling Analysis of Maize (Zea mays L.) Yield Gap in Smallholder Farming in Ghana." Agriculture 10, no. 9 (2020): 420. http://dx.doi.org/10.3390/agriculture10090420.

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Modelling and multiple linear regression were used to explore the reason for low maize yield in the Atebubu-Amantin and West Mamprusi Districts of Ghana, West Africa. The study evaluated maize yields on twenty farms against measures of soil fertility, agronomic attributes and soil water availability. Correlations between yield, soil fertility, rain, crop density, and weed biomass, were low, and no single factor could explain the low yields. A 50-year virtual experiment was then set up using the Agricultural Production Systems Simulator (APSIM) to explore the interactions between climate, crop

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Rizzo, Davide, Laura Martin, and Julie Wohlfahrt. "Miscanthus spatial location as seen by farmers: A machine learning approach to model real criteria." Biomass and Bioenergy 66 (March 22, 2016): 348–63. https://doi.org/10.1016/j.biombioe.2014.02.035.

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<strong>Highlights</strong> • Farmers' criteria to locate real miscanthus fields were investigated. • We modelled agronomic, morphological and contextual field characteristics. • Boosted regression tree method used to upscale from supply area to the regional level. • Small and complex-shaped farmer's blocks resulted to be relevant to locate miscanthus. • Our approach provided miscanthus location probabilities from farm to landscape levels. <strong>Abstract. </strong>Miscanthus is an emerging crop with high potential for bioenergy production. Its effective sustainability depends greatly on the

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Pavelic, Paul, Peter J. Dillon, Kumar A. Narayan, Tim N. Herrmann, and Stephen R. Barnett. "Integrated groundwater flow and agronomic modelling for management of dryland salinity of a coastal plain in southern Australia." Agricultural Water Management 35, no. 1-2 (1997): 75–93. http://dx.doi.org/10.1016/s0378-3774(97)00027-9.

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Zhu, Qing, Kaihua Liao, Yan Xu, Guishan Yang, Shaohua Wu, and Shenglu Zhou. "Monitoring and prediction of soil moisture spatial–temporal variations from a hydropedological perspective: a review." Soil Research 50, no. 8 (2012): 625. http://dx.doi.org/10.1071/sr12228.

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Accurate prediction of soil moisture spatial–temporal variations remains critical in agronomic, hydrological, pedological, and environmental studies. Traditional approaches of soil moisture monitoring and prediction have limitations of being time-consuming, labour-intensive, and costly for direct field observation; and having low spatial resolution for remote sensing, and inconsistent accuracy and reliability for landscape feature (e.g. topography, land use, vegetation) modelling. Innovative and effective approaches for accurate soil moisture simulation are needed. Pedological properties, incl

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Liu, Getong, Jiajun Sun, Chenfeng Liu, et al. "Progress and Trends in Research on Soil Nitrogen Leaching: A Bibliometric Analysis from 2003 to 2023." Sustainability 17, no. 1 (2025): 339. https://doi.org/10.3390/su17010339.

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An in-depth discussion on the research progress and trends in soil nitrogen leaching is essential for the development of agricultural sustainability. However, not enough attention has been paid to the progress and future trends of soil nitrogen leaching research. Using software such as VOSviewer and CiteSpace, bibliometric analyses of a total of 2767 documents in the Web of Science Core Collection were conducted; the documents considered were published over the last 20 years (2003–2023). The results are as follows: (1) The research output on soil nitrogen leaching has been increasing steadily,

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Toselli, Moreno, Elena Baldi, Filippo Ferro, Simone Rossi, and Donato Cillis. "Smart Farming Tool for Monitoring Nutrients in Soil and Plants for Precise Fertilization." Horticulturae 9, no. 9 (2023): 1011. http://dx.doi.org/10.3390/horticulturae9091011.

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The current political, social, and economic conditions place, more than ever, the need to sustainably supply nutrients for plants, integrating low-impact, crop-adapted, variable-rate-application fertilizer solutions, at the center of attention. Fertilization plans should be based on the monitoring of soil fertility to address the proper rate of fertilizer application along with the development of techniques able to increase nutrient uptake efficiency. Monitoring and modelling analysis of the effects of agronomic management in different pedoclimatic conditions can provide several advantages, th

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Rushmi, Nowshin Rahman, Md Sohel Rana, Md Rasel, Md Jahidul Islam, and Md Jakirul Islam Jony Prothan. "Drought: Profile Assessment, Impact Analysis and Coping Strategies to Combat Drought in Naogaon District of Bangladesh." Environment and Urbanization ASIA 14, no. 2 (2023): 233–51. http://dx.doi.org/10.1177/09754253231194723.

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This article tends to analyse the drought scenario of the Naogaon district in Bangladesh through groundwater potential zone modelling. The study’s findings illustrate that the maximum area covers a moderately potential groundwater zone. The study data also portrays various threats, including food insecurity and economic, social and environmental risks that were noticed as a consequence of the severe drought. The findings from the data indicate that the Porsha and Sapahar upazillas (sub-districts) of Naogaon district are more vulnerable zones in terms of drought. It is noteworthy that the peopl

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O'Connor, Nicholas A., Aravind Surapaneni, David Smith, and Daryl Stevens. "Occurrence and fate of Ascaris lumbricoides ova in biosolids in Victoria, Australia: a human health risk assessment of biosolids storage periods." Water Science and Technology 76, no. 6 (2017): 1332–46. http://dx.doi.org/10.2166/wst.2017.222.

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Reuse of sewage biosolids in Victoria, Australia, typically involves mesophilic anaerobic digestion followed by air-drying and long-term storage to ensure removal of ova of soil-transmitted helminths (STH) such as Ascaris lumbricoides. Long-term storage degrades the biosolids' agronomic quality due to the loss of key plant nutrients and takes up large areas of storage space. The impact of varying biosolids holding times and other processes on STH using Ascaris as the reference STH pathogen was examined in this study using a quantitative risk analysis approach. Risk modelling of the potential h

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Hughes, Megan N., and Michael R. Langemeier. "An Analysis of the Economic Effects of Cover Crop Use on Farm Net Returns per Acre in Central Indiana." Sustainability 12, no. 12 (2020): 5104. http://dx.doi.org/10.3390/su12125104.

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Utilizing cover crop treatments can have significant agronomic benefits for a farm enterprise. However, implementing this technology introduces additional costs. Data were obtained from a Central Indiana case farm to evaluate the relationship between applied nitrogen and corn yield, and how this relationship is impacted by introducing three different species of cover crops: annual ryegrass, cereal rye, and an oats and radish blend. The resulting information was then translated into a partial budget so that the effects on net returns could be analyzed using historical prices and stochastic mode

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Syahid, Ahmed, Mohammad Ali Tareq, and Aizul Nahar. "PREFERENCE MODELLING IN R: A TRIAL ON HOME BUYERS’ WILLINGNESS TO PAY." Journal on Innovation and Sustainability RISUS 12, no. 2 (2021): 154–73. http://dx.doi.org/10.23925/2179-3565.2021v12i2p154-173.

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Modelling stated preferences is an almost mystical science and as there is no data explaining how the sustainable feature in homes would effectively encourage homebuyers to invest in sustainable housing, it is important to investigate the buyers’ willingness to pay (WTP) for sustainable housing. The study of stated preferences often requires the use of specialised software or proprietary programs, which can be difficult and/or expensive to use. This study proposes to re-purpose the ‘support.CEs’ package, a program written in the R programming language, from its agronomic roots to measure home

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Wang, Huanyuan, Baoguo Li, Liang Jin, and Kelin Hu. "Exploring a Sustainable Cropping System in the North China Plain Using a Modelling Approach." Sustainability 12, no. 11 (2020): 4588. http://dx.doi.org/10.3390/su12114588.

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The North China Plain (NCP) is one of the most important grain production regions in China. However, it currently experiences water shortage, severe nonpoint source pollution, and low water and N use efficiencies (WUE and NUE). To explore sustainable agricultural development in this region, a field experiment with different cropping systems was conducted in suburban Beijing. These cropping systems included a winter wheat and summer maize rotation system for one year (WM), three harvests (winter wheat-summer maize-spring maize) in two years (HT), and continuous spring maize monoculture (CS). No

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Kukartsev, Vladislav, Julia Olentsova, Kirill Kravtsov, and Tatiana Soloveva. "Logistics to increase efficiency and reduce losses in agriculture." BIO Web of Conferences 130 (2024): 08012. http://dx.doi.org/10.1051/bioconf/202413008012.

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This article discusses modern approaches to optimizing logistics in the agronomic sector using digital technologies. In the context of growing demand for high-quality agricultural products and increasing global competition, agricultural enterprises are faced with the need to introduce innovative solutions for managing transportation and storage of products. Special attention is paid to the design of a system aimed at reducing losses and increasing the efficiency of logistics processes. The use of information technologies such as transportation management systems (TMS), the Internet of Things (

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Minielly, Colin, O. Clement Adebooye, P. B. Irenikatche Akponikpe, et al. "Application of a 1 km2 resolution model for climate change effects upon Benin and Nigeria vegetable agriculture." Geomatica 73, no. 4 (2019): 93–106. http://dx.doi.org/10.1139/geomat-2019-0014.

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Climate change and food security are complex global issues that require multidisciplinary approaches to resolve. A nexus exists between both issues, especially in developing countries, but little prior research has successfully bridged the divide. Existing resolutions to climate change and food security are expensive and resource demanding. Climate modelling is at the forefront of climate change literature and development planning, whereas agronomy research is leading food security plans. The Benin Republic and Nigeria have grown and developed in recent years but may not have all the tools req

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Boudoudou, Dalal, Majid Mounir, Mohamed El bakkali, Allal Douira, and Hamid Benyahia. "Environmental, Genetic and Structural Interactions Affecting Phytophthora spp. in Citrus: Mixed Modelling and Mediation Analysis." Agronomy 15, no. 7 (2025): 1631. https://doi.org/10.3390/agronomy15071631.

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This study investigates the complex interactions between environmental, genetic, and structural factors that influence two key parameters: the density of Phytophthora spp. propagules per gram of dry soil (NPSS) and the number of colonies (NC). Using advanced statistical approaches, we examined the combined effects of variables such as soil moisture, dry weight, temporal fluctuations, and rootstocks. The results show a significant linear relationship between NPSS and soil moisture, as well as a strong positive correlation between NPSS and NC. Genetic analyses reveal a predominant contribution o

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Fortunato, Nigro, Paradiso, et al. "Nitrogen Metabolism at Tillering Stage Differently Affects the Grain Yield and Grain Protein Content in Two Durum Wheat Cultivars." Diversity 11, no. 10 (2019): 186. http://dx.doi.org/10.3390/d11100186.

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Soil nitrogen abundance, as well as nitrogen use efficiency (NUE), significantly affect the crop yield and grain protein content (GPC). Depending on the genotype, a negative correlation between the yield and GPC can occur. The aim of the study was to assess the agronomic performance, and to explore physiological pathways for the efficient use of N fertilizer for two durum wheat cultivars, “Aureo” and “Vespucci”. After fertilization, the nitrogen content and values of some of the agronomic parameters and yield-related traits increased in both cultivars; nevertheless, a simultaneous rise in both

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