scholarly journals Pelatihan Agro Eco-System Analysis Petani Ketela Pohon dalam Teknik Pengelolaan Organisme Pengganggu Tanaman

2021 ◽  
Vol 5 (2) ◽  
pp. 207
Author(s):  
Sri Wahyuni ◽  
Willybrordus Lanamana ◽  
Kristono Yohanes Fowo ◽  
Lourentius Dominikus Gadi Djou ◽  
Yohanes Pande
Keyword(s):  
Pest Control ◽  
Water Conservation ◽  
System Analysis ◽  
Decision Makers ◽  
Cropping Pattern ◽  
Population Fluctuations ◽  
Cropping Patterns ◽  
Plant Pest ◽  
The Stability ◽  
Cultivation Techniques

<em><strong>Training on Agro Eco-System Analysis for Cassava Farmers in Plant Pest Organism Management Techniques</strong>. </em>Pest population fluctuations in cassava plants tend to increase and spread rapidly in drought fields and a monoculture cropping pattern with close spacing therefore the presence of pests planted is highly dependent on agro-ecosystem conditions. Therefore ecological-based pest control is very necessary.  To maintain the stability of the plant ecosystem, basic skills are needed in conducting agroecosystem analysis (AESA). Based on the analysis results obtained recommendations for appropriate ecosystem management for each growing season and facilitate farmers in determining good cultivation techniques regarding pest control, cropping patterns, soil and water conservation as well as natural enemies that are appropriate for their plants. AESA activities are carried out so that farmers understand and are skilled in managing their cassava plantations because Randotonda Village is a producer of "Nuabosi" cassava which is known as a regional superior product. The activity is carried out in a participatory manner by directly involving the participating farmers as observers, fact seekers and decision-makers for the management of their agroecosystems through discussion and manifesting current real conditions with the hope that in the future they can manage their cropping agroecosystems properly. The highest increase in farmer understanding occurred in natural enemy components of 91.67% while the average increase in farmer understanding for all agro-ecosystem components was 57.14%. All participants were able to perform AESA very well which was indicated by the ability of farmers to make recommendations for managing cassava agroecosystems for the next planting season.

Effects of Different Soil Micro-Catchment Pattern on Soil Moisture and Heat in the Semi-Arid Area of Western Liaoning Province

2013 ◽  
Vol 726-731 ◽  
pp. 3837-3842
Author(s):  
Zhi Jing Xiao ◽  
Zhan Xiang Sun ◽  
Liang Shan Feng ◽  
Chen Feng ◽  
Dian Wu Wang
Keyword(s):  
Soil Moisture ◽  
Soil Temperature ◽  
Water Conservation ◽  
Arid Area ◽  
Liaoning Province ◽  
Cropping Pattern ◽  
Western Liaoning ◽  
Cropping Patterns ◽  
Traditional Pattern ◽  
Semi Arid

This study focuses on the outstanding issues of the serious lack of water resources in semi-arid area of western Liaoning province. Traditional cropping patterns as contrast, studied the effect of unary or binary coverage of three micro-catchment patterns, which were ridge film mulching and furrow seeding (T1), groove ridge mulch film (T2), ridge ditch straw mulching cultivation (T3). Compared with the traditional pattern, micro-catchment patterns have obvious water gathering effect. This experiment, T2 of the best water conservation and water harvesting, compared to the traditional pattern, the average soil moisture content improve 2.38% in the growth period. Followed by T3, improves 1.71%. The third was Tr1, improve 1.43%. Micro-catchment can be avoided the drought of soil deeply by covering mulching film. 63mm precipitation can effectively improve 0-80cm soil moisture. While gullies covering film or direct planting cultivation can significantly increase soil temperature. Although the straw covering did not have the role to increase the soil temperature, the soil temperature was more close to the traditional cropping pattern. Compared with the traditional pattern, the average soil temperature of T2 increased by 2.42°C, T1 increased 1.99°C, T3 reduced 0.21°C.

scholarly journals Faktor-Faktor yang Memengaruhi Pilihan Petani Atas Pola Tanam di Agroekosistem Lahan Kering

2020 ◽  
Vol 38 (1) ◽  
pp. 55
Author(s):  
Rangga Ditya Yofa ◽  
Yusman Syaukat ◽  
NFN Sumaryanto
Keyword(s):  
Land Tenure ◽  
Water Conservation ◽  
Random Effect ◽  
Household Head ◽  
Multinomial Logit ◽  
Marginal Effect ◽  
Price Ratio ◽  
Cropping Pattern ◽  
Dry Land ◽  
Cropping Patterns

<strong>English</strong><br />The condition of agriculture in dry land agroecosystems has many limitations both biophysically and socio-economically. As a result, farmers become less optimal in applying cropping patterns. This study aims to analyze factors that influence cropping patterns in dry land agroecosystems. The main data used for the study is the 2008 and 2017 Panel Petani Nasional (Patanas) PSEKP, Ministry of Agriculture. Descriptive statistics was used to describe cropping patterns association with household characteristics, land types, agroclimate, land tenure, and level of income. The influence of each factor on cropping pattern was measured with the Average Marginal Effect computed from the Random Effect Multinomial Logit estimation. Most respondents are self-land owner smallholders. The vegetable-corn-vegetable cropping is the cropping pattern that produces the highest income. The main factor affecting cropping pattern choice is volatility of water availability. Land type, maize price ratio, and level education of household head also significantly affect the cropping pattern choice. It is recommended that the farmers efficiently use the available rain water by appropriate selection of crops and using water conservation technique. Irrigation tools facilitation should create flexibility for the farmers in choosing the optimal cropping patterns.<br /><br /><br /><strong>Indonesian</strong><br />Kondisi pertanian pada agroekosistem lahan kering memiliki banyak keterbatasan baik secara biofisik maupun sosial ekonomi. Akibatnya petani menjadi kurang optimal dalam menerapkan pola tanam. Penelitian ini bertujuan menganalisis faktor-faktor yang memengaruhi pemilihan pola tanam oleh petani di agroekosistem lahan kering. Data utama yang digunakan adalah Panel Petani Nasional (Patanas) tahun 2008 dan 2017 bersumber dari PSEKP, Kementerian Pertanian. Analisis statistik deskriptif digunakan untuk mendeskripsikan hubungan asosiatif pola tanam dengan faktor-faktor yang diduga berpengaruh seperti karakteristik rumah tangga, jenis lahan, agroklimat, penguasaan lahan, harga, dan tingkat pendapatan. Pengaruh setiap faktor terhadap pola tanam diukur dengan <em>Average Marginal Effect</em> dari hasil estimasi <em>Random Effect Multinomial Logit Model</em>. Hasil analisis menunjukkan bahwa responden didominasi oleh petani gurem dengan lahan milik sendiri. Pola sayur-jagung-sayur merupakan pola tanam yang menghasilkan pendapatan paling tinggi dibandingkan pola tanam lain. Faktor utama yang memengaruhi pola tanam adalah volatilitas ketersediaan air. Jenis lahan, rasio harga jagung, dan tingkat pendidikan kepala keluarga juga berpengaruh signifikan dengan arah dan besaran pengaruh yang berbeda antarpola tanam. Disarankan agar petani melakukan efisiensi pemanfaatan air melalui pemilihan komoditas yang sesuai dan penggunaan teknik konservasi air. Fasilitasi penyediaan sarana pengairan dapat meningkatkan fleksibilitas petani dalam memilih pola tanam optimal.

scholarly journals Sustainable food security through cropping system analysis using different farming technologies at northern region of Bangladesh

2017 ◽  
Vol 28 (3) ◽  
pp. 204-215
Author(s):  
Z Ferdous ◽  
M Anwar ◽  
Z Haque ◽  
MK Islam ◽  
MUS Khatun ◽  
...  
Keyword(s):  
Food Security ◽  
System Analysis ◽  
Programming Model ◽  
Cropping System ◽  
Northern Region ◽  
Cropping Pattern ◽  
Ecological Zone ◽  
Gross Margin ◽  
Sustainable Food ◽  
Cropping Patterns

Productivity  of  the  cropping  system  is  critical  to  the  food  security  of  Bangladesh.  However,  many concerns  about  the  sustainability  of  cropping  system  exist  because  of  lack of advance knowledge of farming.  In  this context,  a study  was  performed  in  the  agro-ecological  zone  of  the  Tista Mendar  Floodplain agro ecological zone (AEZ-3)  at  Jaldhaka subdistrict under Nilphamary district of  Bangladesh. By reorganization of existing cropping patterns (using Linear Programming Model) gross output (7% to 21%), gross margin (12% to 20%) and  labour employment (6% to 20%)have been increased from plan1(existing plan) to plan2 (by reorganization of existing lands). The cause of increase gross output, gross margin andlabour employment was some cultivated land from less efficient cropping patterns has been transferred to more efficient cropping patterns. Again, by reorganization of existing and improved cropping patterns, some lands of existing patterns have been shifted to improved cropping pattern.  As a result, gross out (17% to 31%), gross margin (27% to 32%) and labour employment (13% to 26%) have been raised from plan1 to plan 3 (by combination of improved technologies with existing technologies). The result of on farm demonstration showed gross output, gross margin and labour employment have been increased 24% to 53%, 32% to 51% and 12% to 47% from plan1 to plan 3, respectively. So, this study suggest, optimum farm plan with the combination of existing and improved cropping pattern will increase farm output and generate additional employment and improved food security.Progressive Agriculture 28 (3): 204-215, 2017

Impact of Optimal Cropping Patterns on Incomes in a Punjab District

1976 ◽  
Vol 15 (2) ◽  
pp. 218-221
Author(s):  
M. Arshad Chaudhry
Keyword(s):  
Developing Countries ◽  
Linear Programming ◽  
Short Note ◽  
Cropping Pattern ◽  
Small Farms ◽  
Cropping Patterns ◽  
Punjab Province ◽  
Optimal Cropping

To improve farm incomes in developing countries, the foremost question that the farmer must address himself to is: what cropping pattern best uses the fixed resources in order to get the highest returns? During the last decade, the agricultural economists have shown great interest in applying the tools of linear programming to individual farms. Most of the studies conducted elsewhere have shown that, under existing cropping pattern, farm resources were not being utilized optimally on the small farms.[l, 4]. We conducted a survey in the canal-irrigated areas of the Punjab province of Pakistan1 to investigate into the same problem. This short note aims at identifying the opti¬mal cropping pattern and to estimate the increase in farm incomes as a result of a switch towards it on the sampled farms.

scholarly journals Regional Coordination and Security of Water–Energy–Food Symbiosis in Northeastern China

2021 ◽  
Vol 13 (3) ◽  
pp. 1326
Author(s):  
Hongfang Li ◽  
Huixiao Wang ◽  
Yaxue Yang ◽  
Ruxin Zhao
Keyword(s):  
External Environment ◽  
Northeastern China ◽  
Decision Makers ◽  
Human Survival ◽  
A Value ◽  
Natural Factors ◽  
Regional Coordination ◽  
Micro Level ◽  
The Stability ◽  
Coordination Degree

The interactions of water, energy, and food, which are essential resources for human survival, livelihoods, production, and development, constitute a water–energy–food (WEF) nexus. Applying symbiosis theory, the economic, social, and natural factors were considered at the same time in the WEF system, and we conducted a micro-level investigation focusing on the stability, coordination, and sustainability of the symbiotic units (water, energy, and food), and external environment of the WEF system in 36 prefecture-level cities across three northeastern provinces of China. Finally, we analyzed the synergistic safety and coupling coordination degree of the WEF system by the combination of stability, coordination, and sustainability, attending to the coordination relationship and influences of the external environment. The results indicated that the synergistic safety of the WEF system in three northeastern provinces need to equally pay attention to the stability, coordination, and sustainability of the WEF system, since their weights were 0.32, 0.36 and 0.32, respectively. During 2010–2016, the synergistic safety indexes of the WEF system ranged between 0.40 and 0.60, which was a state of boundary safety. In the current study, the coupling coordination degree of the WEF system fluctuated around a value of 0.6, maintaining a primary coordination level; while in the future of 2021–2026, it will decline to 0.57–0.60, dropping to a weak coordinated level. The conclusion could provide effective information for decision-makers to take suitable measures for the security development of a WEF system.

scholarly journals Small world and stability analysis of industrial coupling symbiosis network of ecological industrial park of oil and gas resource cities

2021 ◽  
pp. 014459872098361
Author(s):  
Yanqiu Wang ◽  
Zhengxin Sun ◽  
Pengtai Li ◽  
Zhiwei Zhu
Keyword(s):  
System Analysis ◽  
Oil And Gas ◽  
Small World ◽  
Industrial Park ◽  
Sharp Change ◽  
Connected Subgraph ◽  
Network Efficiency ◽  
Complex Network Theory ◽  
The Stability ◽  
Agglomeration Coefficient

This paper analyzes the small cosmopolitan and stability of the industrial coupling symbiotic network of eco-industrial parks of oil and gas resource-based cities. Taking Daqing A Ecological Industrial Park as an example, we constructed the characteristic index system and calculated the topological parameters such as the agglomeration coefficient and the average shortest path length of the industrial coupling symbiotic network. Based on the complex network theory we analyzed the characteristics of the scaled world, constructed the adjacency matrix of material and information transfers between enterprises, drew the network topology diagram. We simulated the system analysis and analyzed the stability of the industrial coupling symbiotic network of the eco-industrial park using the network efficiency and node load and maximum connected subgraph. The analysis results are as follows: the small world degree δ of Daqing A Eco-industrial Park is 0.891, which indicates that the industrial coupled symbiotic network has strong small world characteristics; the average path is 1.268, and the agglomeration coefficient is 0.631. The probability of edge connection between two nodes in a symbiotic network is 63.1%, which has a relatively high degree of aggregation, indicating that energy and material exchanges are frequent among all enterprises in the network, the degree of network aggregation is high, and the dependence between nodes is high; when the tolerance parameter is 0 to 0.3, the network efficiency and the maximum connected subgraphs show a sharp change trend, indicating that the topology of the industrial coupling symbiotic network of the eco-industrial park changes drastically when the network is subjected to deliberate attacks. It is easy to cause the breakage of material flow and energy flow in the industrial park, which leads to the decline of the stability of the industrial coupling symbiotic network of the eco-industrial park.

scholarly journals Developing Objective Operational Definitions for Monitoring Drought

2009 ◽  
Vol 48 (6) ◽  
pp. 1217-1229 ◽  
Author(s):  
Steven M. Quiring
Keyword(s):  
Water Conservation ◽  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Severity Index ◽  
Decision Makers ◽  
Drought Severity ◽  
Specific Method ◽  
The Standardized Precipitation Index ◽  
Spatially Variant ◽  
Objective Methodology

Abstract Drought is a complex phenomenon that is difficult to accurately describe because its definition is both spatially variant and context dependent. Decision makers in local, state, and federal agencies commonly use operational drought definitions that are based on specific drought index thresholds to trigger water conservation measures and determine levels of drought assistance. Unfortunately, many state drought plans utilize operational drought definitions that are derived subjectively and therefore may not be appropriate for triggering drought responses. This paper presents an objective methodology for establishing operational drought definitions. The advantages of this methodology are demonstrated by calculating meteorological drought thresholds for the Palmer drought severity index, the standardized precipitation index, and percent of normal precipitation using both station and climate division data from Texas. Results indicate that using subjectively derived operational drought definitions may lead to over- or underestimating true drought severity. Therefore, it is more appropriate to use an objective location-specific method for defining operational drought thresholds.

An Application and Research of Gray-Relation for Color Classification in Dyeing Textile

2013 ◽  
Vol 694-697 ◽  
pp. 2881-2885
Author(s):  
Hai Yan Wang ◽  
Jian Xin Zhang
Keyword(s):  
System Analysis ◽  
High Efficiency ◽  
Information Management System ◽  
Space Distribution ◽  
Color Classification ◽  
Uniform Sampling ◽  
Forecast Precision ◽  
Internal Instability ◽  
The Stability

Dyeing textile’s information management system is the basis of accurate classification of color， machine studying methods have became a popular area of research for application in color classification. Traditional classification methods have high efficiency and are very simple ， but they are dependent on the distribution of sample spaces. If the sample data properties are not independent， forecast precision will been affected badly and internal instability will appear. An application of Gray-Relation for dyeing textile color classification has been designed， which offsets the discount in mathematical statistics method for system analysis. It is applicable regardless of variant in sample size， while quantizing structure is in agreement with qualitative analysis. On the basis of theoretical analysis， Dyeing textile color classification was conducted in the conditions of random sampling、 uniform sampling and stratified sampling. The experimental results proofs that by using Gray-Relation， dyeing textile color classification does not need to be dependent on sample space distribution， and increases the stability of classification.

scholarly journals Strategic risk dominance in collective systems design

2019 ◽  
Vol 5 ◽  
Author(s):  
Paul T. Grogan ◽  
Ambrosio Valencia-Romero
Keyword(s):  
Systems Design ◽  
System Of Systems ◽  
Decision Makers ◽  
Organizational Boundaries ◽  
System Architectures ◽  
Risk Dominance ◽  
Strategic Risk ◽  
Level Problem ◽  
The Stability ◽  
Design Scenario

Engineered system architectures leveraging collaboration among multiple actors across organizational boundaries are envisioned to be more flexible, robust, or efficient than independent alternatives but also carry significant downside risks from new interdependencies added between constituents. This paper transitions the concept of risk dominance from equilibrium selection in game theory to engineering design as a strategic measure of collective stability for system of systems. A proposed method characterizes system design as a bi-level problem with two or more asymmetric decision-makers. A measure of risk dominance assesses strategic dynamics with respect to the stability of joint or collaborative architectures relative to independent alternatives using a novel linearization technique to approximate linear incentives among actors. An illustrative example case for an asymmetric three-player design scenario shows how strategic risk dominance can identify and mitigate architectures with unstable risk-reward dynamics.

scholarly journals Dynamical system analysis of three-form field dark energy model with baryonic matter

2020 ◽  
Vol 80 (9) ◽  
Author(s):  
Soumya Chakraborty ◽  
Sudip Mishra ◽  
Subenoy Chakraborty
Keyword(s):  
Dynamical System ◽  
Dark Energy ◽  
Cold Dark Matter ◽  
System Analysis ◽  
Evolution Equations ◽  
Matter Field ◽  
Baryonic Matter ◽  
Form Field ◽  
The Stability ◽  
Manifold Theory

AbstractA cosmological model having matter field as (non) interacting dark energy (DE) and baryonic matter and minimally coupled to gravity is considered in the present work with flat FLRW space time. The DE is chosen in the form of a three-form field while radiation and dust (i.e; cold dark matter) are the baryonic part. The cosmic evolution is studied through dynamical system analysis of the autonomous system so formed from the evolution equations by suitable choice of the dimensionless variables. The stability of the non-hyperbolic critical points are examined by Center manifold theory and possible bifurcation scenarios have been examined.

Sign in / Sign up

Export Citation Format

Share Document