Published: Jan. 1, 2024
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Language: Английский
Published: Jan. 1, 2024
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 364, P. 121487 - 121487
Published: June 17, 2024
This study explores agronomic management (AM) effects on soil parameters under diverse conditions. Investigating tillage practices (TP), nutrient (NM), crop rotation (CR), organic matter (OM), irrigation (IM), and mulching (MS), it aims to reveal impacts productivity, availability, microbial activity, overall health. Varied TP affect quality through compaction, porosity, erosion risk. Proper NM is vital for cycling, preventing imbalances acidification. CR disrupts pest cycles, reduces weed pressure, boosts recycling. OM enhances by influencing carbon, pH, fertility, water retention. Optimizing IM regulates content without inducing waterlogging. MS contributes content, retention, structure, temperature-moisture regulation, benefiting biota, aggregation, health agricultural productivity. The review emphasizes integrated nutrient, CR, management's positive impact fertility activity. Different variations production. Judicious implementation of these essential sustainable agriculture. synthesis identifies uncertainties proposes research directions optimizing productivity while ensuring environmental sustainability. Ongoing inquiry can guide a balanced approach between yields resilient stewardship future generations.
Language: Английский
Citations
29Soil and Tillage Research, Journal Year: 2025, Volume and Issue: 248, P. 106449 - 106449
Published: Jan. 10, 2025
Language: Английский
Citations
3Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: April 13, 2024
Abstract In this study, we employed two multiple criteria decision-making (MCDM) methods, namely the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Analytic Hierarchic Process (AHP), determine best management choice cultivation of wheat with a regime conservation agriculture (CA) practices. By combining alternative tillage approaches, such as reduced zero tillage, quantity crop residues fertilizer application, were able develop CA The performance regimes compared conventional ones was then evaluated using conflicting parameters relating energy use, economics, agronomy, plant protection, soil science. TOPSIS assigned grade each based on how close it ideal solution far away from negative solution. However, employing AHP, determined weights main sub-parameters used study pairwise comparison. With TOPSIS, found ZERO1 (0% residue + 100% NPK) followed ZERO4 (50%residue NPK), ZERO2 (100% 50% performing tillage-based alternatives. To optimize crops under various regimes, assisted decision-makers in distinguishing effects outcome identifying potential maneuvering weak links. outcomes investigation could be improve techniques production practices upscaling among farmers.
Language: Английский
Citations
8European Journal of Soil Biology, Journal Year: 2024, Volume and Issue: 121, P. 103628 - 103628
Published: May 25, 2024
Language: Английский
Citations
8Plant and Soil, Journal Year: 2024, Volume and Issue: unknown
Published: July 1, 2024
Language: Английский
Citations
7Agriculture, Journal Year: 2024, Volume and Issue: 14(12), P. 2134 - 2134
Published: Nov. 25, 2024
Straw mulching in conservation tillage farmland can effectively promote land utilization and conservation. However, this farming mode, surface straw suppresses weed growth, affecting size position distribution obscuring the weeds, which hampers effective management field. Accurate identification localization, along with efficient herbicide application, are crucial for achieving precise, efficient, intelligent precision agriculture. To address these challenges, study proposes a detection model targeted spraying system. Firstly, we collected dataset of weeds straw-covered environment. Secondly, proposed an improved YOLO v5s network, incorporating Convolutional Block Attention Module (CBAM), FasterNet feature extraction loss function to optimize network structure training strategy. Thirdly, designed system by combining device. Through test experiments, results demonstrated that while exhibited 0.9% decrease average accuracy it achieved 8.46% increase speed, memory computational load reduced 50.36% 53.16%, respectively. In method 90%, target localization error within 4%, rate 86.7%, missed 6.7%, erroneous 3.3%. These confirm robustness feasibility method. This approach also promotes application deep learning algorithms directional systems.
Language: Английский
Citations
5European Journal of Agronomy, Journal Year: 2025, Volume and Issue: 164, P. 127526 - 127526
Published: Feb. 1, 2025
Language: Английский
Citations
0Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 279 - 279
Published: Feb. 6, 2025
Soil enzyme activities serve as the key indicators of microbial nutrient limitations. Vegetation types after farmland is returned modify both biological and abiotic properties soil, thereby impacting soil cycle stability forest ecosystems. However, limitations in degraded karst forests under different vegetation return remain unclear. Therefore, this study investigated physicochemical properties, activities, resource (grasslands (G), transitional grass–shrub (SG), shrubland (S), secondary (F)) returning on dip anti-dip slopes a trough valley. The relationships among factors influencing were analyzed to identify drivers limitation. results revealed that significantly greater than slopes. Total nitrogen (27.4%) bulk density (24.4%) influenced mainly activity its stoichiometric ratio, whereas carbon phosphorus impacted microorganisms F G types. characteristics accounted for 85.5% 75.6%, respectively, observed influence. Notably, total content (36.8%) erosion slope was other These factors, especially bedrock strata type, affect activity. This confirms type enhances slopes, providing scientific basis ecosystem restoration.
Language: Английский
Citations
0Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2867 - 2867
Published: March 24, 2025
Sustainable soil management through the use of an appropriate tillage system can positively change edaphic parameters. The aim present study was to compare effects that reduced (RT) and conventional (CT) systems have on changes in selected physical chemical properties enzymatic activity various types. included following types: Eutric Fluvisol, Mollic Haplic Chernozem, Luvisol, Regosol, Gleysol, Stagnic Planosol. Soil samples were collected Danubian Lowland Eastern Slovak Lowland. parameters determined samples: texture, pH, hydrolytic acidity sum basic exchangeable cations, contents carbon (TOC), nitrogen (TN), dissolved organic (DOC), activities dehydrogenases (DEH), catalase (CAT), peroxidases (PER), alkaline phosphatase (AlP), acid (AcP), proteases, β-glucosidase (BG). reaction analysed soils, RT CT cultivations alike, ranged from acidic neutral, sorption differed between individual TOC 16.53 42.07 g kg−1 for cultivation 15.51 38.90 tillage. values quality indices correlated with TOC, DOC, TN, as well base cation exchange capacity, degree saturation complex. studied enzymes, but intensity direction these depended type. Based enzyme results, such GMea TEI calculated. proved be a more sensitive indicator than GMea. It shown that, all types regardless system, Gleyosols had most variable properties. For tillage, Luvisol Regosol characterised by greatest uniformity. In general, soils under those simplified
Language: Английский
Citations
0Industrial Crops and Products, Journal Year: 2025, Volume and Issue: 228, P. 120884 - 120884
Published: March 28, 2025
Language: Английский
Citations
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