Integrated strategies for effective remediation of chromium-contaminated soils: advancements, challenges, and sustainability implications

Environmental Advances, Journal Year: 2025, Volume and Issue: 19, P. 100614 - 100614

Published: Jan. 31, 2025

Language: Английский

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Hydrogel Performance in Boosting Plant Resilience to Water Stress—A Review

Gels, Journal Year: 2025, Volume and Issue: 11(4), P. 276 - 276

Published: April 7, 2025

Hydrogels have emerged as a transformative technology in agriculture, offering significant potential to enhance crop resilience, improve water use efficiency, and promote sustainable farming practices. These three-dimensional polymeric networks can absorb retain water, making them particularly valuable regions facing scarcity unpredictable rainfall patterns. This review examines the types, properties, applications of hydrogels highlighting their role improving soil moisture retention, enhancing nutrient delivery by, increasing yield. The discussion extends economic environmental implications hydrogel use, including reduce irrigation costs by minimize erosion. also explores latest innovations technology, such smart biodegradable alternatives, which offer new possibilities for precision agriculture sustainability. Despite promising benefits, challenges higher cost synthetic hydrogels, impact, performance variability across different types remain. Addressing these requires multidisciplinary approach that integrates advancements material science, agronomy, policy. future outlook is optimistic, with ongoing research poised refine expand diverse agricultural systems. By leveraging capabilities achieve increase productivity, ensure food security, move towards more resilient landscape.

Language: Английский

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GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: March 6, 2025

Introduction Most farmers in Nigeria lack knowledge of their farmland’s nutrient content, often relying on intuition for crop cultivation. Even when aware, they struggle to interpret soil information, leading improper fertilizer application, which can degrade and ground water quality. Traditional analysis requires field sample collection laboratory analysis; a tedious time-consuming process. Digital Soil Mapping (DSM) leverages Machine Learning (ML) create detailed maps, helping mitigate depletion. Despite its growing use, existing DSM-based ML methods face challenges prediction accuracy data representation. Aim This study presents GeaGrow, an innovative mobile app that enhances agricultural productivity by predicting properties providing tailored recommendations yam, maize, cassava, upland rice, lowland rice southwest using Artificial Neural Networks (ANN). Materials The presented method involved the samples from six states were analysed compile primary dataset mapped coordinates. A secondary was compiled iSDAsoil’s API augmentation validation. two sets pre-processed normalized Python, ANN employed predict such as NPK, Organic Carbon, Textural Composition pH levels through regressive while building composite model Texture Classification based predicted composition. model’s performance yielded Mean Absolute Error (MAE) 1.9750 NPK Carbon prediction, 3.5461 0.1029 prediction. For classification texture, results showed high value 99.9585%. Results highlight effectiveness combining texture with retention, optimize application. GeaGrow provides accessible, location-based insights personalized recommendations, marking significant advancement technology. also smallholder scalable, ease adoption use developed Conclusion research demonstrates potential transform management improve yields, contributing sustainable farming practices Nigeria.

Language: Английский

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Conservation Agriculture for Closing Maize Yield Gap and Enhancing Climate Resilience in Semi-Arid Eastern Rwanda

Farming System, Journal Year: 2025, Volume and Issue: unknown, P. 100151 - 100151

Published: March 1, 2025

Language: Английский

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Precise application of water and fertilizer to crops: challenges and opportunities

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 6, 2024

Precision water and fertilizer application technologies have emerged as crucial innovations in sustainable agriculture, addressing the pressing need to enhance crop yield quality while optimizing resource use minimizing environmental impacts. This review systematically explores latest advancements precision technologies. It examines integration of advanced sensors, remote sensing, machine learning algorithms assessing their roles irrigation nutrient management. The study evaluates various techniques, including micro-irrigation systems, variable rate technology (VRT), predictive modeling, along with implementation diverse agricultural settings. Furthermore, addresses challenges posed by soil heterogeneity emphasizes necessity for a scientific index system guide precise applications. Advanced methods, such subsurface drip micro-sprinkling, improve water-use efficiency reduce salinity levels, fertilization techniques optimize uptake minimize leaching. sensing facilitates real-time monitoring adaptive management, resulting increased reduced pollution. However, effectiveness these is contingent upon developing standardized indices. highlights novel combination data analytics enabling targeted interventions tailored specific field conditions. underscores importance integrating microbial community dynamics biochemical indicators management practices fertility performance. development models time series analysis tools represents significant advancement anticipating responding changing offer substantial benefits improving yields, enhancing efficiency, mitigating strategic robust systems essential cycling maintaining health. Addressing existing through interdisciplinary research collaborative efforts will further advance contributing long-term sustainability global food security.

Language: Английский

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Effects of different water and fertilizer concentration on leaf area and yield of jujube (ziziphus jujuba mill.)

Bangladesh Journal of Botany, Journal Year: 2024, Volume and Issue: 53(4), P. 881 - 887

Published: Dec. 30, 2024

Effects of different water and fertilizer concentrations on the leaf area index, fruit development yield jujube trees under bubbled-root irrigation during growth period were analyzed. The index treatments reached a peak at enlargement stage tree. maximum with high medium treatment (W1N2). highest number fruits per unit branch length appeared in (W2N2), while lowest low (W3N0). all was (W2N2) having more than 30 000 kg/hm2, (W3N1) less 15 kg/hm2. Therefore, can be selected to obtain trees. Bangladesh J. Bot. 53(4): 881-887, 2024 (December)

Language: Английский

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