清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Energy flow and life cycle impact assessment of coffee-pepper production systems: An evaluation of conventional, integrated and organic farms in India

生命周期评估 农业科学 种植 生产(经济) 农业 胡椒粉 持续性 农业工程 环境影响评价 高效能源利用 环境科学 业务 工程类 计算机科学 经济 地理 生态学 考古 生物 宏观经济学 计算机安全 电气工程
作者
Kariyaiah Basavalingaiah,Venkatesh Paramesh,Ranjan Parajuli,H. C. Girisha,M. Shivaprasad,G.V. Vidyashree,Greg Thoma,M. Hanumanthappa,G. S. Yogesh,Shiva Dhar,Shripad Bhat,Misbakhul Irfan,G. A. Rajanna
出处
期刊:Environmental Impact Assessment Review [Elsevier]
卷期号:92: 106687-106687 被引量:33
标识
DOI:10.1016/j.eiar.2021.106687
摘要

In the process of analyzing and taking action toward a low-carbon production, understanding the effect kind of farm management options is critical. Currently, a sustainable production system entails effective energy use with reduced environmental impact. Considering the quantum of inputs in coffee production, this study deals with the evaluation of energy flow and environmental footprints of coffee-pepper farms of Karnataka, India. The aim is to ensure the socio-economic and environmental sustainability of coffee-pepper production systems. The evaluation was made for 108 farms, categorized into conventional farming (CF), integrated production (IP), and organic farming (OF) systems, using both data envelopment analysis (DEA) and Life cycle Assessment (LCA) methodologies. A cradle-to-gate perspective was used to evaluate the life cycle environmental impacts. The functional unit is one ha of the cropping system, used for producing both crops (coffee and pepper). The energy analysis revealed higher energy use efficiency (2.3), net energy gain (18,890 MJ/ha), and farm autonomy (0.3) in the OF system. Higher energy consumption in CF and IP was attributed to the N fertilizer use (38% & 32%, respectively), followed by lime (20% & 17%, respectively). The DEA indicated that the average technical efficiency of the farming system was 0.82 for the CF and 0.76 for the IP. This implies farmers can save 18 and 24% of the resources in the CF and the IP systems, respectively. These farms performed more efficiently with a mean economic saving of 497 and 540 USD, respectively compared to the CF. The on-farm greenhouse gas (GHG) emissions were the major contributor to the global warming potential; contributing 59%, 62%, and 62%, respectively in the CF, IP, and OF. The overall GHG emissions in the OF systems were 65% lower compared to the CF. The IP and OF systems showed better environmental and energy gains compared to the CF for most of the selected sustainability metrics. Hence, large-scale adoption of the OF practices or reducing the use of external inputs can help to achieve higher energy efficiency and to reduce environmental impacts associated with conventional farming systems.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
洋子发布了新的文献求助10
10秒前
57秒前
yygz0703发布了新的文献求助10
1分钟前
1分钟前
123发布了新的文献求助10
1分钟前
宁过儿发布了新的文献求助10
1分钟前
万能图书馆应助123采纳,获得10
1分钟前
所所应助Cloud采纳,获得10
1分钟前
yygz0703完成签到,获得积分10
1分钟前
欢呼亦绿发布了新的文献求助10
1分钟前
彭于晏应助666采纳,获得10
1分钟前
1分钟前
Cloud发布了新的文献求助10
1分钟前
2分钟前
欢呼亦绿发布了新的文献求助10
2分钟前
2分钟前
666发布了新的文献求助10
2分钟前
kean1943完成签到,获得积分10
2分钟前
欢呼亦绿发布了新的文献求助10
2分钟前
科研通AI2S应助外向的妍采纳,获得30
2分钟前
外向的妍完成签到,获得积分10
3分钟前
3分钟前
gycao2025完成签到,获得积分10
3分钟前
欢呼亦绿发布了新的文献求助10
3分钟前
123发布了新的文献求助10
3分钟前
深情安青应助123采纳,获得10
3分钟前
SciGPT应助666采纳,获得10
4分钟前
欢呼亦绿发布了新的文献求助10
4分钟前
科研通AI6.2应助Ww采纳,获得30
4分钟前
小静完成签到 ,获得积分10
4分钟前
美丽的问安完成签到 ,获得积分10
4分钟前
5分钟前
5分钟前
Una发布了新的文献求助10
5分钟前
风茠住发布了新的文献求助10
5分钟前
5分钟前
666发布了新的文献求助10
5分钟前
SciGPT应助666采纳,获得10
5分钟前
Hero发布了新的文献求助10
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Standard: In-Space Storable Fluid Transfer for Prepared Spacecraft (AIAA S-157-2024) 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5950518
求助须知:如何正确求助?哪些是违规求助? 7136568
关于积分的说明 15917937
捐赠科研通 5084224
什么是DOI,文献DOI怎么找? 2733180
邀请新用户注册赠送积分活动 1694480
关于科研通互助平台的介绍 1616137