An improved YOLOv8 method for identifying empty cell and unqualified plug seedling DOI Creative Commons
Lei Li, Jiajia Yu, Yujun Lu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

Abstract A lightweight seedling detection model with improved YOLOv8s is proposed to address the identification problem in replenishment process In industrial vegetable production, First, CBS module network structure replaced depthwise separable convolution (DSC) reduce number of parameters and GFLOPS model. The efficient multiscale attention (EMA) added improve feature extraction capability network, focusing on target regions empty unqualified seedlings trays complex environments. Second, VoVGSCSP utilized replace C2f Neck further lighten its accuracy. Compared original model, Precision, Recall, mAP test set are 95.9%, 91.6%, 96.2%, respectively, parameters, GFLOPS, size 7.88 M, 20.9, 16.1 MB, respectively. speed algorithm 116.3 frames per second (FPS), which higher than that (107.5 FPS). results indicate can accurately identify cell plug tray real time has a smaller making it suitable for use embedded or mobile devices contributing realization automated unmanned replenishment.

Language: Английский

Progress and Trends in Research on Soil Nitrogen Leaching: A Bibliometric Analysis from 2003 to 2023 DOI Open Access

Getong Liu,

Jiajun Sun,

Chenfeng Liu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(1), P. 339 - 339

Published: Jan. 5, 2025

An in-depth discussion on the research progress and trends in soil nitrogen leaching is essential for development of agricultural sustainability. However, not enough attention has been paid to future research. Using software such as VOSviewer CiteSpace, bibliometric analyses a total 2767 documents Web Science Core Collection were conducted; considered published over last 20 years (2003–2023). The results are follows: (1) output increasing steadily, showing single-discipline dominance agronomy, but trend multidisciplinary cross-research gradually begun emerge recent years. (2) There close cooperation between authors, countries, institutions; main includes modelling management, related management practices types high international profile. (3) components at heart cycling soils, properties, water environments crops, greenhouse gas formation emissions, agronomic hotspot changed applied (4) Increasing considerations measures, deepening microorganisms, constructing complete evaluation system constitute directions. This study can provide valuable references sustainable agriculture.

Language: Английский

Citations

2
Can urea-coated fertilizers be an effective means of reducing greenhouse gas emissions and improving crop productivity? DOI
Muhammad Umair Hassan, Huang Guo-qin, Muhammad Arif

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 367, P. 121927 - 121927

Published: July 29, 2024

Language: Английский

Citations

4
Trade-offs between agronomic and environmental benefits: A comparison of inhibitors with controlled release fertilizers in global maize systems DOI Creative Commons
Minyu Wang, Ping He, Daijia Fan

et al.

Field Crops Research, Journal Year: 2025, Volume and Issue: 323, P. 109768 - 109768

Published: Feb. 1, 2025

Language: Английский

Citations

0
Climatic vulnerability and adaptation strategies for vegetable production in the Northern Himalayan region DOI Creative Commons
Pardeep Singh, Manoj Kumar Vaidya, Amit Guleria

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 969, P. 178343 - 178343

Published: Feb. 28, 2025

Vegetable production in the low and mid hills is highly vulnerable to climatic vulnerability. The study evaluated Agricultural Climatic Vulnerability Index (ACVI) for 51 blocks regions using IPCC AR4 conceptual framework. developmental were categorized into three groups (Low, Moderate Highly Vulnerable) collect primary data. A multistage stratified random sampling technique was employed, a pre-tested questionnaire. ACVI findings reveal that Balh Valley most climate-vulnerable block, while Paonta Sahib least. primarily driven by temperature variations Kharif Rabi seasons of exposure dimension. farm income analysis shows decline crop feasibility from high-vulnerability groups. Maximum significantly reduced net returns, except case cauliflower. Rainfall negatively impacted profitability crops such as tomatoes, capsicum peas. However, an increase minimum boosted vegetable balanced use fertilizer pesticide application, diversification increased irrigation coverage mitigated climate change impacts across all vulnerability improved profitability. Among studied, tomato exhibited highest carbon sequestration potential, followed capsicum, pea, French beans significant variation observed level Farmers these have adopted various adaptation strategies, including (76.11%), nutrient management (71.11 %), varietal changes (65.56 water conservation %). To enhance resilience, emphasizes importance technical knowledge, capacity building, adoption better agronomic practices, financial support, comprehensive stakeholder consultation within agricultural allied sectors.

Language: Английский

Citations

0
Fertiliser nitrogen source and the use of nitrification inhibitors are tools to reduce nitrous oxide emissions and improve agronomic performance in temperate grassland DOI Creative Commons
Dumsane Themba Matse, Dominika Król, Karl G. Richards

et al.

Environmental Technology & Innovation, Journal Year: 2025, Volume and Issue: unknown, P. 104232 - 104232

Published: April 1, 2025

Language: Английский

Citations

0
Interaction between burial depth and N source in drip-fertigated maize: Agronomic performance and correlation with spectral indices DOI Creative Commons
Alba Monistrol, Antonio Vallejo, Sandra García‐Gutiérrez

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 301, P. 108951 - 108951

Published: July 17, 2024

Increasing drought severity and evaporative demand in Mediterranean areas makes it necessary to implement irrigation systems with high water nutrient supply efficiency. The combined management of drip burial depth different nitrogen (N) sources, thus far unexplored, predicting these effects using proximal spectral vegetation indices. A 2-year field experiment was conducted comparing maize yield N uptake from four fertilization treatments: ammonium sulfate (AS), AS the nitrification inhibitor DMPP (AS+INH), calcium nitrate (CN) a control without surface or subsurface (30 cm depth) fertigation. Multispectral data were collected calculate various indices, while chlorophyll content measured soil plant analysis development (SPAD) sensor second year. Subsurface AS+INH increased grain yields compared AS-only (by 12 % 18 %, respectively, P < 0.05). However, this observed only season, as increases content. results show that use CN performed better drip, NH4+-N-based fertilizers recommended for irrigation. Regarding data, at flowering-milky kernel dent phenological stages Normalized Difference Red Edge (NDRE) canopy index (CCCI) two indices best estimated agronomical parameters able discriminate differences between systems. This study highlights potential (i) multispectral sensors drip-fertigated (ii) optimizing crop performance by combining source (DMPP irrigation), relevant implications climate change adaptation (i.e., improvements phenology saving).

Language: Английский

Citations

2
Suitable Water–Fertilizer Management and Ozone Synergy Can Enhance Substrate-Based Lettuce Yield and Water–Fertilizer Use Efficiency DOI Creative Commons
Qingqing Zhao,

Shulong Guo,

Junjie Feng

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(8), P. 1619 - 1619

Published: July 24, 2024

As living standards rise, enhancing quality has become a central objective for many researchers. Soilless cultivation, known its efficient use of resources, is increasingly used in vegetable production. It critical to develop effective water and fertilizer management strategies achieve high-quality yields promote sustainable development modern agriculture. This study employed an orthogonal experimental design assess the impact varying nutrient solution concentrations (50%, 75%, 100%, 125% Hoagland’s), lower irrigation thresholds (40%, 55%, 70%, 85% field capacity (FC)), ozone (0, 1, 2, 4 mg·L−1) on lettuce growth, yield, quality, water–fertilizer efficiency. The results indicated that fixed enhanced growth metrics lettuce. Similarly, increasing initially improved, then reduced when threshold was constant. Furthermore, maintaining stable while raising concentration boosted, diminished, indicators. Optimal conditions were identified at 75% 100% 0 1 mg·L−1. Variance analysis highlighted significant effects concentration, thresholds, Range revealed optimal combination be FC threshold, mg·L−1, yielding 16.82 t·ha−1 efficiency 40.14 kg·m−3. These findings provide theoretical support advancement soilless cultivation contemporary

Language: Английский

Citations

2
Determining effect of fertilization on reactive nitrogen losses through nitrate leaching and key influencing factors in Chinese agricultural systems DOI Creative Commons

Shenglin Wen,

Ningbo Cui, Yaosheng Wang

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 303, P. 109055 - 109055

Published: Sept. 10, 2024

Language: Английский

Citations

2
An improved YOLOv8 method for identifying empty cell and unqualified plug seedling DOI
Lei Li, Jiajia Yu, Yujun Lu

et al.

Journal of Real-Time Image Processing, Journal Year: 2024, Volume and Issue: 21(6)

Published: Oct. 28, 2024

Language: Английский

Citations

1
An improved YOLOv8 method for identifying empty cell and unqualified plug seedling DOI Creative Commons
Lei Li, Jiajia Yu, Yujun Lu

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

Abstract A lightweight seedling detection model with improved YOLOv8s is proposed to address the identification problem in replenishment process In industrial vegetable production, First, CBS module network structure replaced depthwise separable convolution (DSC) reduce number of parameters and GFLOPS model. The efficient multiscale attention (EMA) added improve feature extraction capability network, focusing on target regions empty unqualified seedlings trays complex environments. Second, VoVGSCSP utilized replace C2f Neck further lighten its accuracy. Compared original model, Precision, Recall, mAP test set are 95.9%, 91.6%, 96.2%, respectively, parameters, GFLOPS, size 7.88 M, 20.9, 16.1 MB, respectively. speed algorithm 116.3 frames per second (FPS), which higher than that (107.5 FPS). results indicate can accurately identify cell plug tray real time has a smaller making it suitable for use embedded or mobile devices contributing realization automated unmanned replenishment.

Language: Английский

Citations

0