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Titlebook: Agriculture, Livestock Production and Aquaculture; Advances for Smallho Arvind Kumar,Pavan Kumar,Meenu Rani Book 2022 The Editor(s) (if app

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發(fā)表于 2025-3-21 16:07:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Agriculture, Livestock Production and Aquaculture
期刊簡(jiǎn)稱Advances for Smallho
影響因子2023Arvind Kumar,Pavan Kumar,Meenu Rani
視頻videohttp://file.papertrans.cn/152/151663/151663.mp4
發(fā)行地址Discusses approaches to sustainable agriculture in smallholder farming systems.Covers adaptation and mitigation strategies of smallholder farmers in response to climate change.Focuses on trends in foo
圖書(shū)封面Titlebook: Agriculture, Livestock Production and Aquaculture; Advances for Smallho Arvind Kumar,Pavan Kumar,Meenu Rani Book 2022 The Editor(s) (if app
影響因子.This two-volume set discusses recent approaches and technological innovations for sustainable agriculture in smallholder farming systems impacted by climate change. The systems covered include crop-based agricultural production, as well as aquaculture and livestock production as related systems using similar techniques to combat food security issues brought about by climate change and resource overuse. The chapters detail innovations involving crop diversification, soil resilience management, geoinformatics and land suitability monitoring for smart farming, information technology in livestock production, and nutrient resource management in fishery aquaculture. Researchers, practitioners and industries will be able to use this information to implement?socially and economically sustainable practices to achieve food security in impoverished areas vulnerable to climate change, while also learning about the?rapid evolution in information technology that is applicable for and available to small holder farmers...?..Volume 2 focuses on trends and technologies in?food security within the context of sustainable practices, drone technology, microwave data, molecular farming, machine learning
Pindex Book 2022
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Revolutionizing Crops and Soil Resources’ Resilience to Climate Change: A Case for Best-Fit Agronomi variation, especially rainfall and temperature, has rendered agricultural productivity a high risk venture. Practices and technologies that abate the impact of climate change on agricultural production systems are thus imperative. There are several empirical studies of best-fit agronomic practices
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Examining the Outcome of Coupling Machine Learning with Dual Polarimetric SAR for Rice Growth Mappin of agricultural insurance, the information plays a critical role in the damage assessment as rice plants of certain ages cannot survive flooding or drought events. In this research, Phased Array-type L-band Synthetic Aperture Radar (PALSAR-2) data were evaluated in combination with machine learning
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Crop Assessment and Decision Support Information Products Using Multi-sensor and Multi-temporal Modeing decision support information product because it gives precise information about the condition of crop in any area in terms of health or stress condition and biodiversity analysis and helps in monitoring crop management activities such as rehabilitation and abiotic factors like temperature and ra
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