Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: July 15, 2024
Proper utilization of agricultural land is a big challenge as they often laid over waste lands. Farming significant occupation in any country and improving it further by promoting more farming opportunities will take the towards making huge leap forward. The issue achieving this would be lack knowledge cultivable for food crops. objective work to utilize modern computer vision technology identify map needs. With increasing population demand food, sector crucial. However, lies suitable crops cultivation. To tackle issue, we propose use sophisticated image processing techniques on satellite images determine regions that are capable growing solution architecture includes enhancement imagery using pan sharpening techniques, notably Brovey transformation, aiming transform dull into sharper versions, thereby overall quality interpretability visual data. Making weather data location observed taking factors like soil moisture, weather, humidity, wind, sunlight times so on, fed generative pre-trained transformer model which makes gives set grown piece under said conditions. results obtained proposed fusion approach compared with dataset provided government different states India performance was measured. We achieved an accuracy 80% considering crop suggested our predominant region. Also, classification report detailing presented.
Language: Английский
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2Published: Jan. 1, 2024
Language: Английский
Citations
1Environmental Management, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 8, 2024
Language: Английский
Citations
1Water, Journal Year: 2023, Volume and Issue: 15(22), P. 4020 - 4020
Published: Nov. 20, 2023
This study examines the DCMA concerning future risk of water security status. We considered three factors: population growth, economic and natural supply–demand differences. In analysis part, we consulted with experts from several sectors including academia, Non-Governmental Organizations (NGOs), industry, to predict that probability stresses in high-, medium-, low-risk scenarios are 0.73, 0.24, 0.03, respectively. decision adopted two multiple criteria (MCDA) approaches include attribute value theory (MAVT) analytic hierarchy process (AHP) methods evaluate best alternative alleviate DCMA. The sensitivity demonstrates that, although expanding existing reservation might be a solution tackle challenge, option really closely connects weighting scheme framework. provides valuable framework analyze status associated supply demand gap decrease caused by climate change, supply.
Language: Английский
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3Hydrology and earth system sciences, Journal Year: 2024, Volume and Issue: 28(4), P. 817 - 832
Published: Feb. 21, 2024
Abstract. Inter-basin water transfer projects are the main measure to address deficit crisis caused by uneven distribution of resources. The current operation mainly tends be present in areas with small costs and is prone encounter problem spatial temporal imbalances allocation. To these issues, this paper defines a evenness index (WDEI), aimed at minimizing regional differences scarcity sharing pressure as social demand objective. This incorporated into joint optimization model for Jiangsu section South-to-North Water Diversion Project (J-SNWDP), which comprises both ecological objective total (TWD) economic pumping (PW). Further, Nondominated Sorting Genetic Algorithm III (NSGA-III) multi-attribute decision-making were applied solve obtain an optimal strategy. results showed following: (1) WDEI defined can mitigate synchronized certain users. In typical normal years (wet year dry year), shows reduction 94.2 % (81.8 %, 76.7 %) compared historical (2) optimized strategy significantly reduce TWD PW 82.06% (37.69 52.36 45.13 (3.25 21.51 values, respectively, improve supply satisfaction project cost. At same time, lake storage capacity performs well, efficiency river improved. (3) paper, targeted strategies potential ways secure tasks proposed different natural flow. Overall, it great significance study equity J-SNWDP alleviate concentrated Province other similar regions.
Language: Английский
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0Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: July 29, 2024
Improving the green electricity efficiency (GEE), is an important issue for China's high-quality economic development. This study presents a spatial correlation network of urban GEE in Yellow River Basin from 2012 to 2021, constructed using improved gravity model. Social analysis and quadratic assignment procedure method are employed analyze characteristics influencing factors. The findings indicate that exhibits complex stable characteristics. reveals Jiayuguan City, Dongying Dingxi Zibo Shizuishan City occupy central positions within network. results adjacency, GDP per capita, industrial structure, level science technology expenditure positively related GEE, while environmental regulation average temperature negatively related. have led policy recommendations aimed at enhancing Basin.
Language: Английский
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0IFAC-PapersOnLine, Journal Year: 2024, Volume and Issue: 58(2), P. 13 - 18
Published: Jan. 1, 2024
Language: Английский
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0Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8021 - 8021
Published: Sept. 13, 2024
Increasing water withdrawals and changes in land cover/use are critically altering surface bodies, often causing a noticeable reduction their area. Such anthropogenic modification of waters needs to be thoroughly examined recognize the dynamics through which humans affect loss water. By leveraging remotely-sensed data employing distance–decay model, we investigate resources that occurred Italy between 1984 2021 explore its association with cover change potential human pressure. In particular, first estimate conversion across locations experiencing loss. Next, identify analytically model influence irrigated built-up areas, heavily rely on waters, spatial distribution losses river basin districts basins Italy. Our results reveal mainly located northern Italy, where they have been primarily replaced by cropland vegetation. As expected, find tend more concentrated proximity both areas yet showing differences occurrence extent. These observed patterns well captured our analytical outlines predominant role Sicily, dominant effects Apennines Sardinia. highlighting following evaluating relative respect pressure, analysis provides key information could support management prevent future conditions scarcity due unsustainable exploitation.
Language: Английский
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0Published: Jan. 1, 2024
Language: Английский
Citations
0Published: Jan. 1, 2023
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0