Economic and environmental benefits of digital agricultural technologies in crop production: A review

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 8, P. 100441 - 100441

Published: March 22, 2024

This comprehensive review delved into the economic and environmental benefits of Digital Agricultural Technologies (DATs) in crop production, synthesising data from 136 peer-reviewed papers 28 documents with empirical relevant EU projects. analysis highlighted substantial contribution DATs across five key categories: Recording Mapping (RMT), Guidance Controlled Traffic Farming (CTF) Technologies, Variable Rate (VRT), Robotic Systems or Smart Machines (RSSM), Farm Management Information (FMIS). Specifically, it provided an overview various that these technologies can deliver most significant ones revealing reductions up to 80% fertiliser usage RMT CTF applications, while VRT demonstrated a 60% decrease reduction pesticide use. also showed increase yield by 62%. RSSM was able reduce labour 97% diesel consumption 50%. FMIS improved 10% 15%, facilitating simultaneous input costs, illustrating critical role integrated digital solutions enhancing agricultural efficiency sustainability. From point view, has emerged as major factor sustainability, demonstrating water savings 20% 50% vineyards pear orchards greenhouse gas emissions. These findings on productivity promoting They compelling case for further investment research through quantifiable production.

Language: Английский

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The impacts of irrigation methods and regimes on the water and nitrogen utilization efficiency in subsoiling wheat fields

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 295, P. 108765 - 108765

Published: March 14, 2024

Long-term rotary tillage limit water infiltration and crop productivity in North China Plain (NCP). The practice of subsoiling to fracture plow pans has made beneficial impacts on soil surface structure infiltration. Further, appropriate irrigation method coupled with regime can improve condition. A three-year field trial (2020–2023) was carried out assess the effects winter wheat evapotranspiration (ET), grain yield (GY), (WP), partial factor from applied nitrogen (PPFN), economic analysis. three regimes were irrigated when moisture levels decreased 70%, 60% 50% capacity (referred as H, M L) two methods drip (SDI) micro-sprinkler (MSI). traditional flood 70% filed CK. results showed optimizing significantly influenced ET, GY, WP, PPFN, net incomes. As amount increased, ET first increased while incomes then slightly decreased. Based average, maximum GY 9454 kg ha−1 income 11089 yuan achieved SDI-M, which had WP 2.3 m−3 PPFN 39.4 kg−1. At same time, SDI-M did not result much increase (average 405.1 mm seasons). Considering comprehensively incomes, irrigate decreases by optimal strategy all aspects. These will provide a scientific reference for management NCP, well similar production areas worldwide.

Language: Английский

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Impact of agricultural digitalization on carbon emission intensity of planting industry: Evidence from China

Heliyon, Journal Year: 2024, Volume and Issue: 10(10), P. e31215 - e31215

Published: May 1, 2024

Studying the impact of agricultural digitalization (ADT) on carbon emission intensity planting industry (PCI) can help promote sustainable development and realize "dual carbon" goal. Based panel data 31 provinces in China from 2010 to 2020, this study uses entropy weight method coefficient measure level ADT PCI, respectively. By using regression analysis method, as well robustness test, heterogeneity spatial spillover effect threshold tests, PCI was examined. The results are follow: (1) is high north low south, north-south divide becoming prominent. (2) significantly reduce verified through test. (3) Regional differences exist with most significant observed northeast region, followed by western central regions. (4) exerts a an inhibitory adjacent provinces. (5) proportion urban population PCI. When ratio crosses 69 %, emissions decreases marginally. Therefore, promoting green low-carbon highly recommended.

Language: Английский

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Nitrogen use efficiency indicators for the Australian cotton, grains, sugar, dairy and horticulture industries

Environmental and Sustainability Indicators, Journal Year: 2021, Volume and Issue: 10, P. 100099 - 100099

Published: Jan. 10, 2021

There are multiple ways that nitrogen (N) use efficiency (NUE) can be assessed, and NUE indicators documented in the scientific literature for measuring crop N uptake efficiency, utilization several other agronomic indicators. At present, however, there is no consensus as to how should calculated reported across different agricultural industries Australia, which makes it difficult communicate data stakeholders a consistent manner. This variation terminology definitions also perform long-term industry-specific assessments of NUE, inform management practices, therefore guide future research development. The work this article was undertaken address lack harmonization evident Australia. Metrics used measure both Australia internationally critically reviewed collated, define, describe interpret guidelines suite key applied assess cross-sector productivity, profitability environmental aspects fertilizer use, effective communication findings implications. following proposed: (1) Fertilizer (NUtE), (2) (NUPE), (3) Agronomic (AE), (4) Partial factor productivity (PFPN), (5) Marginal return on (MRF). calculation, interpretation cross-industry usefulness these presented discussed. Worked examples provided based derived from Australian Government's More Profit Nitrogen (MPfN) Program, enabled values determined. These were compare contrast between identify opportunities where could potentially improved by strategies. Further, an indicator framework adapted irrigated cotton sugarcane cropping systems generic developed EU Expert Panel. concept MPfN Program become available.

Language: Английский

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Soil compaction in a new light: Know the cost of doing nothing – A cotton case study

Soil and Tillage Research, Journal Year: 2021, Volume and Issue: 213, P. 105158 - 105158

Published: Aug. 2, 2021

Increased size of farm machinery has improved efficiency but at the risk soil compaction. Here we present a novel approach investigating effect compaction due to in-field traffic by continuously monitoring crop canopy temperature and profile moisture measuring yield in individual rows determine economic impact on cotton farming systems. Traffic tractor weighing 19.2 Mg either side plant row reduced lint 27 % lower height, leaf area, biomass fruit number. Elevated (Tc) compacted plots resulted 30 higher stress time (i.e. cumulative when Tc is than optimum for growth) compared with non-compacted plots. Higher was correlated 72 reduction water use (estimated from change water) 0.3−0.5 m 0.5 – 0.7 depths, respectively. Water recharge irrigation rainfall 16 highest being 86 0.3 depth. These results demonstrate that likely root access below inducing resulting reduction. Tractors used operations only compact one bed, however, both sides are absence permanent wheel tracks. By comparison dual tyre round module picker ∼32 compacts 67 33 suggesting greater loss following season estimated current study. Reductions events will further decrease profitability. To our knowledge this first study related any show direct relationship between yield, dynamics specific depths profile. It suggested short term agronomic decisions (eg scheduling) need be considered differently where been identified as limiting productivity. We recommend case studies conducted monitor commercial productivity cost across agricultural industries drive practice change. Demonstrating potential consequences integrated may encourage minimize farms.

Language: Английский

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A modeling framework to quantify the effects of compaction on soil water retention and infiltration

Soil Science Society of America Journal, Journal Year: 2021, Volume and Issue: 85(6), P. 1931 - 1945

Published: Sept. 22, 2021

Abstract The water retention curve (WRC) of arable soils from the southeastern United States at different levels compaction (no compaction, and 10 20% increases in soil bulk density) was estimated using van Genuchten–Mualem (VG) model. VG parameters noncompacted were obtained first by fitting measured hydraulic data. To construct WRC compacted soils, gravimetric values permanent wilting point (θ gw , 1,500 kPa) residual gr ) content assumed to remain unchanged with compaction. parameter α exponent η after two approaches. In Approach 1, saturation, point, content. 2, value which allowed be immediately equation. 2 found give slightly better agreement data than 1. effect on saturated conductivity ( K s predicted semitheoretical approaches VG‐WRC function. HYDRUS‐1D further used simulate vertical infiltration into a single‐layered profile determine impact characteristics our analyses. Results showed that 10–20% increase density, due reduced cumulative I c time T = final (steady‐state) 55–82%, available storage capacity 3–49%, depending upon type.

Language: Английский

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Removing Soil Compaction by Deep Grouting

Published: Jan. 1, 2025

Language: Английский

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Zero and controlled traffic improved soil physical conditions and soybean yield under no-tillage

Soil and Tillage Research, Journal Year: 2021, Volume and Issue: 215, P. 105235 - 105235

Published: Oct. 30, 2021

Language: Английский

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Development of a Platform for Learning Cybersecurity Using Capturing the Flag Competitions

Electronics, Journal Year: 2023, Volume and Issue: 12(7), P. 1753 - 1753

Published: April 6, 2023

Currently, cybersecurity is a topic of great importance for society. With the increase in use technology and digitization many activities, number cyber threats to which individuals organizations are exposed has increased. In addition, COVID-19 pandemic accelerated processes, further increasing risk cyberattacks. One main causes these problems lack security awareness, as people do not have proper understanding measures, they must take protect themselves. As solution knowledge, this work proposes development Capture Flag platform learning about cybersecurity. The objective provide tool that allows education future professionals field covers existing demand type specialist. made up two sections, one other CTF. first section teachers contribute teaching their students using challenges. second carry out competitions with effective results when acquiring knowledge experience. evaluated questionnaires surveys measure whether fulfills its purpose.

Language: Английский

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Process-Based Crop Models in Soil Research: A Bibliometric Analysis

Soil Systems, Journal Year: 2023, Volume and Issue: 7(2), P. 43 - 43

Published: April 25, 2023

Different types of soil data are used in process-based crop models as input data. Crop have a diverse range applications, and research is one them. This bibliographic analysis was conducted to assess the current literature on soil-related applications using two widely models: Agricultural Production Systems Simulator (APSIM) Decision Support System for Agrotechnology Transfer (DSSAT). The publications available Scopus database during 2000–2021 period were assessed. Using 523 publications, application developed published an online repository, which helpful determining specific different geographic locations. Soil-related APSIM DSSAT found 41 43 countries, respectively. It reported that selected water, physical properties, greenhouse gas emissions, N leaching, nutrient dynamics, other chemical properties related applications. can be concluded model promising tool assessing processes regions.

Language: Английский

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