scholarly journals Impact of Agro Technology on Socio-economic Condition of the Farming Groups at Jagannathpur

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Sushan Chowhan
Keyword(s):  
Rural Development ◽  
Crop Production ◽  
Economic Status ◽  
Positive Sign ◽  
Vegetable Production ◽  
Farm Families ◽  
Agricultural Technologies ◽  
Dwelling House ◽  
Food Expenditure ◽  
Input Cost

Agriculture is being highly technologized today; to sustain production and gain higher yields, farmers have to be updated regarding available technologies. As the land area is decreasing, there’s always a challenge to increase production and earn profit. Therefore, technological innovations also change farmers’ socio-economic conditions. Considering this, an interview on three categories (landless, marginal, small) of 15 farmers was conducted at the Jagannathpur union of Kumarkhali upazilla under the Kushtia district to investigate the socio-economic status, problems in crop production, potentials, limitations of rural development and adoption extent of modern agricultural technologies. Outcomes expressed that, a major source of annual income (1,20,800 Tk) of landless farmers were from non-agricultural works; contrary, marginal (2,89,000 Tk) and small (3,89,200 Tk) farmers’ prime source of income was from agricultural origins. It was a positive sign that all categories of farm families spent a good sum of money for educating children immediately after food expenditure. All the farmers had drinking water, electricity and hygienic toilet facilities at their dwelling house. The problem confrontation index (PCI) of rural development was highest in lack of capital (36). Physical and social PCI was identified as limited natural resources (32) and reduction of croplands (28), respectively. Concerning technology adoption, 14% used biofertilizer, 12% followed a modern model of vegetable production, 12% collected quality seeds, 10% exercised mulching, 10% used perching and 10% imitated seed preservation techniques. Top PCI for crop production was high input cost (36) followed by lack of technical knowledge (34). Most of the respondents agreed that agricultural production directly contributes to food security (34), increased nutrition (32) and financial safety (30).

scholarly journals Assessment of vegetable production by adopting climate SMART agriculture technologies in Chormara, Nawalparasi district, Nepal

2021 ◽  
Vol 6 (4) ◽  
pp. 535-541
Author(s):  
Sarthak Gaire ◽  
Shridhika Dahal
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Soil Health ◽  
Marketing Channel ◽  
Simple Random Sampling ◽  
Vegetable Production ◽  
Agricultural Technologies ◽  
Negative Impacts ◽  
Smart Agriculture ◽  
The Cost

Vegetable production is an economic booster contributing around 9.71% to total Agricultural Gross Domestic Production. So, the research study was performed under the topic “Assessment of vegetable production adopting climate-smart agriculture technologies in Chormara, Nawalparasi district” from March- April 2021 to assess the production of selected vegetables i.e. Cucumber, Tomato, Bitter Gourd, Sponge Gourd, and Chilly adopting climate-smart agriculture technology among 100 households applying simple random sampling. The study revealed that 96% of the total respondents were being affected directly by the ongoing climate change and to tackle such scenario 88% of the total respondents were adopting climate SMART Agricultural technologies including mulching, drip irrigation, cultivation of vegetables under the semi-protected house, quality seeds, etc. to mitigate the negative impacts of climate change with increased crop production. To enhance the productivity of vegetables and meet the food security of the increasing global population, farmers were integrating organic and synthetic fertilizers to attain the sustainability of soil health. It was found that 76% of the surveyed farmers were going through market hindrances like lack of proper market, fluctuation in price structure, and poor marketing channel suggesting an immediate need for a proper marketing system in the study area. The highest net return of USD 17588.53 per hectare and B:C ratio of 5.88 in tomatoes illustrated economic viability in vegetable production. Although vegetable production and marketing in Chormara seem a profitable business, the study suggests an immediate need for adoption and scaling up of successful CSA practices, its extension and proper implementation along with the provision of effective marketing channel and setting of minimum prices for the vegetable products based on the cost of cultivation that may overcome the farmer’s problems.

LEAD Farmer Based F2F Extension Mode l: Role of Krishi Vigyan Kendras and Technology Adoption Determinants for Enhancing Model’s Effectiveness

2019 ◽  
Vol 6 (04) ◽  
Author(s):  
M S MEENA ◽  
R B KALE ◽  
S K SINGH ◽  
A K SINGH
Keyword(s):  
Technology Adoption ◽  
Significant Role ◽  
Agricultural Production ◽  
Government Support ◽  
Front Line ◽  
Farm Families ◽  
Agricultural Technologies ◽  
Extension System ◽  
Index Value

A study was undertaken in collaboration with eight Krishi Vigyan Kendras (KVKs) and five Learning and Experience based Advisor (LEAD) farmers were selected by each KVK, employing socio-metric technique. Hence, data were solicited from 40 LEAD farmers from eight districts who were trained by KVKs. Role of KVKs were determined based on their Index Value (IV). Study reveals that KVKs played an important role in skill development of LEAD farmers through organisation of need based and skill-oriented trainings (IV=62) followed by front-line demonstrations on location specific agricultural technologies at farmers’ fields (IV=59.42), and developing linkages between LEAD and fellow farmers (IV=58.33). Key determinants accountable for enhancing effectiveness of this model were enhanced technology adoption (IV=60.13) followed by enhanced agricultural production (IV=57.48) and productivity (IV=57.10). Study reveals that one LEAD farmer adopted 5 agricultural technologies from KVKs. Further, fellow farmers adopted 2 agricultural technologies from LEAD farmers. Hence, it was concluded that this approach may play a significant role in complementing Indian public extension system through reducing cost and coverage of more farm families. This model needs community as well as government support for sustainability and its scalability.

scholarly journals Remote Control of Greenhouse Vegetable Production with Artificial Intelligence—Greenhouse Climate, Irrigation, and Crop Production

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1807 ◽  
Author(s):  
Silke Hemming ◽  
Feije de Zwart ◽  
Anne Elings ◽  
Isabella Righini ◽  
Anna Petropoulou
Keyword(s):  
Artificial Intelligence ◽  
Crop Production ◽  
Vegetable Production ◽  
Digital Interface ◽  
Greenhouse Climate ◽  
Fresh Food ◽  
Net Profit ◽  
Greenhouse Vegetable ◽  
Process Computer ◽  
Cucumber Yield

The global population is increasing rapidly, together with the demand for healthy fresh food. The greenhouse industry can play an important role, but encounters difficulties finding skilled staff to manage crop production. Artificial intelligence (AI) has reached breakthroughs in several areas, however, not yet in horticulture. An international competition on “autonomous greenhouses” aimed to combine horticultural expertise with AI to make breakthroughs in fresh food production with fewer resources. Five international teams, consisting of scientists, professionals, and students with different backgrounds in horticulture and AI, participated in a greenhouse growing experiment. Each team had a 96 m2 modern greenhouse compartment to grow a cucumber crop remotely during a 4-month-period. Each compartment was equipped with standard actuators (heating, ventilation, screening, lighting, fogging, CO2 supply, water and nutrient supply). Control setpoints were remotely determined by teams using their own AI algorithms. Actuators were operated by a process computer. Different sensors continuously collected measurements. Setpoints and measurements were exchanged via a digital interface. Achievements in AI-controlled compartments were compared with a manually operated reference. Detailed results on cucumber yield, resource use, and net profit obtained by teams are explained in this paper. We can conclude that in general AI performed well in controlling a greenhouse. One team outperformed the manually-grown reference.

scholarly journals Kontribusi Hutan Rakyat terhadap Ketahanan Pangan Rumah Tangga Petani Kecamatan Rumpin, Kabupaten Bogor

2018 ◽  
Vol 9 (3) ◽  
pp. 188-195
Author(s):  
Siti Nur Indah Lestari ◽  
Hardjanto Hardjanto ◽  
Yulius Hero
Keyword(s):  
Food Security ◽  
Total Energy ◽  
Household Income ◽  
Crop Production ◽  
Household Food Security ◽  
Private Forest ◽  
Literature Study ◽  
Daily Consumption ◽  
Food Expenditure ◽  
Food Share

Private forest is one of the alternatives to support food security and household income. The research is located in village of Cidokom, Leuwibatu, and Mekarjaya, Subdistrict of Rumpin with 66 respondents. This study aims to analysis contribution of private forest to the total household income and food security of farmer households Data was collected by field observation, interview and literature study. Analysis of contribution to food security was done by calculating total energy from all crop production with unit of cap/cal/day by comparing the recommended daily consumption of energy and nutritional value (AKG) of 2150 kcal/person/day. The level of household food security is measured by using food share. Food share is cross-classification of two indicators of food security. The two indicators are the share of food expenditure and the adequacy of energy consumption (kcal). The results showed that (1) The average contribution of private forest for household income from timber plantation is 10.63% and food crops is 30.22% of total income, (2) there are 46 types of crops which contribute to food security per day with average 393.70 cal/cap/day or 18.75% from total energy/day/person,(3) the distribution of households that have food resistant (TKE>90%) is 69,69%.KeyWords: Private forest, agroforestry, food security

scholarly journals 2020–2021 Vegetable Production Handbook: Chapter 6. Cole Crop Production

EDIS ◽  
2020 ◽  
Author(s):  
Lincoln Zotarelli ◽  
Peter J. Dittmar ◽  
Nicholas S. Dufault ◽  
Bonnie Wells ◽  
Johan Desaeger ◽  
...  
Keyword(s):  
Chinese Cabbage ◽  
Crop Production ◽  
Vegetable Production ◽  
Cole Crops ◽  
Cole Crop

This chapter covers production of cole crops and Asian crucifers, including broccoli, cabbage, cauliflower, Chinese broccoli, Chinese cabbage, Chinese mustard (bok choy), kohlrabi, lobok/daikon, collards, kale, mustard, and turnip.

scholarly journals Assessment of the effectiveness of agricultural technologies based on production data

2021 ◽  
Vol 36 ◽  
pp. 08009
Author(s):  
N.V. Stepnykh ◽  
S.D. Gilev ◽  
E.V. Nesterova ◽  
A.M. Zargaryan ◽  
S.A. Kopylova
Keyword(s):  
Crop Production ◽  
Agricultural Practices ◽  
Annual Reports ◽  
Management Tool ◽  
Agricultural Technologies ◽  
Agricultural Enterprises ◽  
Use Of Resources ◽  
Scientific Organizations ◽  
Literary Sources ◽  
Digital Management

Modern agriculture is characterized by a variety of technologies associated with a multivariance of means of production. Due to the fact that the forces of scientific organizations do not allow to study most of the innovations in agriculture, the analysis of the effectiveness of technologies is possible directly in agricultural enterprises, where a large amount of agronomic and economic information obtained in the specific conditions of the introduction of agricultural practices is accumulated. The purpose of the study was to analyze the effectiveness of modern technologies for growing grain crops according to accounting and agronomic reports of agricultural enterprises of the Kurgan region. The methods of monographic, mathematical, and statistical analysis of data from literary sources, annual reports of agricultural enterprises of the region, as well as data from production fields of the Kurgan Research Institute of Agricultural Sciences were used. The results of the study showed the possibility of obtaining high results in crop production due to different methods of tillage (with and without surface tillage), the use of optimal doses of fertilizers. The reserves of profitability growth are associated with a more accurate use of resources, which is possible when considering the data of each field, thanks to the maintenance of electronic books of the field history, as a variant of a digital management tool in crop production.

scholarly journals Analysis and Study of the Socio Economic and Nutritional Status of Farmers Selected Under DST- SARTHI Project of District Hoshiarpur, Punjab

2021 ◽  
pp. 399-407
Author(s):  
R. K. Dubey ◽  
Rajveer Kaur ◽  
Ravi Deepika ◽  
T. S. Dhillon
Keyword(s):  
Socioeconomic Status ◽  
Nutritional Status ◽  
Economic Status ◽  
New Delhi ◽  
Vegetable Production ◽  
Intervention Period ◽  
Household Level ◽  
Socio Economic Status ◽  
Nutrition Intake ◽  
The Difference

The present study was carried out in the department of Floriculture and Landscaping, Punjab Agricultural University, Ludhiana under DST- SARTHI project, New Delhi to analyse the socio economic and nutritional status of beneficiaries selected under the project. Moreover, nutritional status of farmers recorded to also assess the association between FVS, DDS and socioeconomic status at household level. The Data on vegetable production, selling, buying and socio-economic status were collected using questionnaire developed by PAU Ludhiana. A total 100 beneficiaries from three landholding categories viz small (<5 acre), medium (5-10 acre) and large (>10 acres) in Hoshiarpur were selected. The data have been collected to check the difference in the nutrition intake of beneficiaries during the interventional period and before the intervention. Correlation of both years (before and during intervention) calculated as 0.892243. It is concluded that the previous year diet was not healthier integration of both quality and quantity in the scores but both scores (DDS& FVS) increased during intervention period through DST Project.

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