Published: Jan. 1, 2024
Language: Английский
Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8
Published: Nov. 21, 2024
Water-fertilizer coupling technology has emerged as a pivotal strategy in modern agriculture, recognized for its potential to enhance soil environmental quality, promote crop growth, and ensure sustainable resource utilization. With increasing global food demands concerns, optimizing agricultural practices is essential achieving security ecological balance. This review aims systematically the direct impacts of water-fertilizer on physical, chemical, biological properties soil, while elucidating underlying mechanisms that drive responses. Additionally, it evaluates optimization associated benefits. The findings indicate significantly improves structural stability, enhances microbial diversity, increases enzyme activities. An appropriate ratio markedly boosts biomass carbon nitrogen content, facilitating nutrient mineralization accelerating decomposition organic matter. implementation intelligent management systems shown water use efficiency reduce fertilizer loss rates, thereby minimizing footprint production. crucial improving health, yields, efficiency. not only supports but also contributes national rural revitalization efforts. Future research should focus interaction among crops, water, fertilizer. It strengthen development regulation models decision support guide production effectively. Policymakers are encouraged adoption integrated strategies foster resilience. underscores importance advancing means achieve productivity safeguarding integrity, aligning with principles socialism Chinese characteristics.
Language: Английский
Citations
6
Horticulture Environment and Biotechnology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 27, 2025
Language: Английский
Citations
0
Agronomy, Journal Year: 2025, Volume and Issue: 15(5), P. 1133 - 1133
Published: May 5, 2025
In this study, we examined the impact of various physical and chemical properties growth media on strawberry growth, yield, quality, economic returns. Six treatments were established: T1 (biogas residue/peat/perlite/vinegar residue = 1:5:1:4), T2 2:3:1:5), T3 2:3:1:4), T4 2:4:1:3), T5 3:4:1:5), CK (peat/perlite 4:1). The results showed that compared with treatment, total nitrogen level increased by 3.26- to 3.95-fold organic matter content 14.13–25.70%. particular, 2:3:1:4) exhibited significant advantages, stem diameter, root volume, fresh weight increasing 18.89%, 36.41%, 35.26%, respectively, CK. yield per plant saw a 14.54% increase, soluble solids rose 29.34%, solid acid ratio was 1.68 times higher than Furthermore, net income 2.37 greater A comprehensive assessment revealed treatment demonstrated superior performance in both parameters returns, suggesting its suitability as an optimal formulation for further experimentation.
Language: Английский
Citations
0
Acta Scientiarum Polonorum Hortorum Cultus, Journal Year: 2025, Volume and Issue: 24(2), P. 3 - 14
Published: April 30, 2025
Different clones and cultivars of strawberry can differ in morphological chemical properties, as well productivity, adaptation to cultivation conditions, post-harvest quality during storage processing. Due differences the raw materials final products depending on clone/cultivar, correct distinguishing is important for growers, consumers processors. This study was aimed at advanced using an innovative approach involving image processing artificial intelligence. The material included strawberry, such clone with breeding code T-201457-16 (Grandarosa × Elsanta), T-201536-06 (Clery Grandarosa), T-201567-01 (Patty Panvik), Fibion, Grandarosa, Markat. fruit acquisition performed a digital camera. As many 2172 parameters were extracted from each converted different color channels R, G, B, L, a, b, X, Y, Z, U, V, S textures highest discriminative power selected develop models various machine learning algorithms, Multilayer Perceptron, MultiClass Classifier, IBk, LMT, Linear Discriminant, Quadratic SVM, Subspace Wide Neural Network. most accurate classifications obtained model built Discriminant (96.30%) Perceptron (95.83%). For developed cultivar Markat completely correctly classified accuracy 100%. Whereas case characterized by classification metrics, Precision F-measure equal 0.983, MCC 0.980, PRC Area ROC 1.000. be used practice discriminate objective nondestructive manner.
Language: Английский
Citations
0
IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 14, 2024
Berries such as strawberries, blueberries and raspberries have expanded into non-traditional growing areas worldwide. In recent years, the berry production system has changed to cultivation in substrate pots this alternative shown potential produce high yields of high-quality berries. The quality parameters pot are known influence plant growth fruit production. Many authors evaluated composition media size container with aim optimizing appropriate conditions that affect yield. physical characteristics play a special role cultivation; then, good should be quality, order provide root adequate environment develop. management water irrigation nutrient contents during substrates great importance on yield fruits. Thus, suitable systems fertilizer solution containing all essential nutrients for perspective, objective chapter is present equipment practices used berries substrate.
Language: Английский
Citations
1
Published: Jan. 1, 2024
Language: Английский
Citations
0