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Journal articles on the topic 'On-farm decision making'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Selvaraju, R., T. N. Balasubramanian, A. K. S. Huda, and D. A. George. "Farm Decision Making Using Climate Information." Outlook on Agriculture 34, no. 1 (2005): 23–31. http://dx.doi.org/10.5367/0000000053295097.

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The appropriate use of seasonal climate information in agricultural management requires systematic analysis of decision makers' (farmers') characteristics, needs and perceptions. An attempt has been made to characterize the decision-making approach and factors affecting them amongst 240 selected crop farmers in southern India (Coimbatore region). Farmers' perceptions about the importance of farm decisions in relation to seasonal climate information and their knowledge level were also analysed. About 39% of the farmers made decisions ‘alone’, indicating monopolization of decisions by one decisi

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Sutherland, Lee-Ann, and Kirsty L. Holstead. "Future-proofing the farm: On-farm wind turbine development in farm business decision-making." Land Use Policy 36 (January 2014): 102–12. http://dx.doi.org/10.1016/j.landusepol.2013.07.004.

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Das, Ganesh. "A Study on Decision Making Ability of The Rural Women on Farm Management." Indian Research Journal of Extension Education 23, no. 1 (2023): 30–33. http://dx.doi.org/10.54986/irjee/2023/jan_mar/30-33.

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Farm women decision is an important factor for agricultural management. In India majority of the agricultural workers were women. There are diff erent factors are present which is infl uence the decision-making ability of the women farmers. Keeping this in view the present study was conducted to fi nd out the decision-making ability of the rural women on agricultural management and factor infl uencing on this decision. The study was conducted in North Bengal region of India with the help of ex post facto research design. It was found from the study that majority of the farm women jointly take

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Gichohi, Paul Maku. "The role of record keeping and maintenance in enhancing decision making among smallholder dairy farmers in Gitugi Ward in Murang’a County, Kenya." Information Development 36, no. 4 (2019): 535–45. http://dx.doi.org/10.1177/0266666919879728.

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Dairy farmers are expected to maintain farm records for aiding decisions making. However, the extent to which farm records inform decision making is not clear in Gitugi Ward in Murang’a County, Kenya. This study aimed to determine the role that record keeping and maintenance play in enhancing decision making of smallholder dairy farmers in that area. Descriptive survey research design was used to examine 175 smallholder dairy farmers. Simple random sampling technique was used in getting a sample size of 118 subjects. Data was collected using questionnaires and analyzed using SPSS. Ordinal logi

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Backus, G. B. C., V. R. Eidman, and A. A. Dijkhuizen. "Farm decision making under risk and uncertainty." Netherlands Journal of Agricultural Science 45, no. 2 (1997): 307–28. http://dx.doi.org/10.18174/njas.v45i2.520.

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Relevant portions of the risk literature are reviewed, relating them to observed behaviour in farm decision-making. Relevant topics for applied agricultural risk research are proposed. The concept of decision making under risk and uncertainty is discussed by reviewing the theory of Subjective Expected Utility and its limitations. Subjective Expected Utility theory is the major framework for thinking systematically through complex issues of decision. Limitations of Subjective Expected Utility theory were that its application to unique decisions is doubtful, that it does not contribute to diffic

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Chaudhari, R. U., U. M. Patel, and G. N. Thorat. "DECISION MAKING OF FARM WOMEN IN DAIRY OCCUPATION." Gujarat Journal of Extension Education 33, no. 1 (2022): 109–11. http://dx.doi.org/10.56572/gjoee.2022.33.1.0021.

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Farm women's decision making in dairy occupation affects their overall efficiency in the development of dairy occupation but adequate attention is not being paid for the economic development of farm women and to encourage them to avail training facilities on dairy management practices for supplementing their family income through development and application of occupational skills and proficiency. The present study was conducted in Banaskantha district of Gujarat state. From Banaskantha District, four talukas were selected randomly. From selected three taluka, four villages each and from one ta

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Ahimbisibwe, Vianny, Eckhard Auch, Jürgen Groeneveld, Susan Balaba Tumwebaze, and Uta Berger. "Drivers of Household Decision-Making on Land-Use Transformation: An Example of Woodlot Establishment in Masindi District, Uganda." Forests 10, no. 8 (2019): 619. http://dx.doi.org/10.3390/f10080619.

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Land use transformation at the farm level is attributed to household decision-making, reflected by the behavior and activities of smallholder farmers. Unfortunately, household decision-making in local communities and its determinants are site-specific and hardly understood. This study uses multistage purposive selection of households as a unit for the analysis to investigate the transformation from pure agriculture to farm forest mosaics, especially through woodlot establishment. We use key informants, household surveys, and observations to obtain data on decision-making amongst 84 farm househ

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Nikoloski, Trajče, Andrej Udovč, Martin Pavlovič, and Uroš Rajkovič. "Farm reorientation assessment model based on multi-criteria decision making." Computers and Electronics in Agriculture 140 (August 2017): 237–43. http://dx.doi.org/10.1016/j.compag.2017.06.011.

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Mbakaya, B., DM Ndengu, M. Tembo, C. Mbukwa, and D. Njera. "A cross-sectional study on level of participation of women in farm decision making processes: household approach in Mzimba north, Malawi." African Journal of Food, Agriculture, Nutrition and Development 24, no. 3 (2024): 25782–94. http://dx.doi.org/10.18697/ajfand.128.24290.

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Against the background of low women’s participation in farm decision making processes, Malawi’s agriculture sector adapted and up- scaled Household Approach, a gender transformative tool known for its impact in enhancing participation of women in farm decision making processes. In this study, participation in farm decision making is defined as the involvement of women, men and youth in decision making process in relation to visioning, planning, implementation, monitoring and evaluation. The objective of this study was to determine level of participation of women under Household Approach in far

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Kumari, Mala. "Role of women in decision making process to rice-based farming system: A Study of North Bihar, India." Plant Science Archives 4, no. 4 (2019): 10–13. http://dx.doi.org/10.51470/psa.2019.4.4.10.

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Women play a vital and significant role in agriculture, particularly in developing countries where they make up a large percentage of the agricultural labour force. They are actively involving in all range of agricultural works including pre-harvesting, and post-harvesting activities. But it is unfortunate that they remain invisible workers. Therefore, their participation as decision- makers regarding these works is questionable. Hence the study was concentrated to analyse the role of farm women in decision-making in rice-based farming system of North Bihar. To analyse their decision making pr

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Ashwini., H. Bidaralli, and Jayasheela Dr. "A STUDY ON DECISION MAKING BEHAVIOUR OF FARM WOMEN IN AGRICULTURE SECTOR." International Journal of Interdisciplinary Research in Arts and Humanities 3, no. 1 (2018): 250–53. https://doi.org/10.5281/zenodo.1226714.

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The present study reflects the decision making behaviour of women in farm related activities. The participation of women in farm management and other areas of decision making varied in relation to their status in the family and size of holding. The non-participation and partial participation of women is due to several reasons such as inadequate exposure to mass media, lack of extension contact, social restriction, lack of time, illiteracy and large size of the family which are to be taken care of to bring women to the mainstream of development.

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Barten, Mariska, Yvette de Geus, Joop den Hartog, and Len Lipman. "Decision-Making Regarding On-Farm Culling Methods for Dairy Cows Related to Cow Welfare, Sustainable Beef Production, and Farm Economics." Animals 15, no. 11 (2025): 1651. https://doi.org/10.3390/ani15111651.

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In the Netherlands, around 52,000 dairy cows die on the primary farm each year due to natural death, euthanasia, or on-farm emergency slaughter (OFES). The decision as to what is the best option is made by the farmer, often after consulting a veterinarian, a livestock trader, or a slaughterhouse operator. To determine which factors play a role in this decision-making process, semi-structured interviews were conducted with dairy farmers, private veterinary practitioners, livestock traders, and slaughterhouse operators in the Netherlands. Dairy cattle culling decisions are influenced and limited

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Swai, Lisa, and Tumaini Ubaldus. "Avocado Households Farmers Decision Making in Southern Highlands of Tanzania: A Case of Njombe Urban." European Journal of Theoretical and Applied Sciences 1, no. 5 (2023): 1363–71. http://dx.doi.org/10.59324/ejtas.2023.1(5).117.

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This article aimed at gaining understanding of avocado farming among household farmers in Tanzania, in particular in Njombe Urban. Specifically, the article assessed on who and how decisions are made in households about farm utilization in general and avocado farming in particular. In methodology, the article adopted a cross-sectional research design with both quantitative and qualitative approach. Data were collected by using questionnaire to 75 smallholder farmers, and in-depth interview to 5 actors of avocado farming (Avo Africa organization). Analysis of the study was done descriptively, w

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Lisa, Swai, and Ubaldus Tumaini. "Avocado Households Farmers Decision Making in Southern Highlands of Tanzania: A Case of Njombe Urban." European Journal of Theoretical and Applied Sciences 1, no. 5 (2023): 1363–71. https://doi.org/10.59324/ejtas.2023.1(5).117.

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This article aimed at gaining understanding of avocado farming among household farmers in Tanzania, in particular in Njombe Urban. Specifically, the article assessed on who and how decisions are made in households about farm utilization in general and avocado farming in particular. In methodology, the article adopted a cross-sectional research design with both quantitative and qualitative approach. Data were collected by using questionnaire to 75 smallholder farmers, and in-depth interview to 5 actors of avocado farming (Avo Africa organization). Analysis of the study was done descriptively, w

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Kabadzhova, Monika. "ROLE OF CAP GREENING IN FARMERS` DECISION-MAKING." Trakia Journal of Sciences 17, Suppl.1 (2019): 600–605. http://dx.doi.org/10.15547/tjs.2019.s.01.095.

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CAP Greening is an important part of the sustainable development of scarce resources, conservation of habitats and species diversity. The aim of the study is to examine the role of mandatory requirements resulting from the CAP greening for farm development and environmental conservation. Analysis of available literature data on the CAP greening direct payments was conducted in order to highlight environmentally friendly agricultural practices. The results show that climate and environmentally friendly agrucultural practices are set out in three groups as follows: crop diversification, maintena

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Parmar, R. S., K. U. Chandravadia, and V. I. Mehra. "DECISION MAKING PATTERN OF FARM WOMEN IN ANIMAL HUSBANDRY PRACTICES USING MACHINE LEARNING." Gujarat Journal of Extension Education 33, no. 2 (2022): 84–88. http://dx.doi.org/10.56572/gjoee.2022.33.2.0017.

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Machine learning techniques have provided opportunities for researchers to design new analytical methods in different areas of agricultural extension. The objective of this study is to estimate the decision-making pattern of farm women in animal husbandry practices. Different machine learning algorithms namely linear regression, support vector machines, k-nearest neighbors, KStar, decision table, M5Rules, random forest and random tree were used for prediction of decision making pattern of farm women in animal husbandry practices in Junagadh district of Gujarat. The feature selection algorithm

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Janová, J. "Crop plan optimization under risk on a farm level in the Czech Republic." Agricultural Economics (Zemědělská ekonomika) 60, No. 3 (2014): 123–32. http://dx.doi.org/10.17221/77/2013-agricecon.

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The precise agricultural operations research models claiming complex solutions and specialized software tools may appear too complicated to truly support the decision making process on the farm level. The specific balance between the simplifications made and the correspondence to the real problem must be found when building decision support for a local farmer. In this paper, a decision support model for agricultural production planning in the Czech Republic is developed covering both the randomness of parameters entering the problem and the complex crop succession requirements. Crucially, the

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Marais, Zara E., Thomas P. Baker, Anthony P. O’Grady, Jacqueline R. England, Dugald Tinch, and Mark A. Hunt. "A Natural Capital Approach to Agroforestry Decision-Making at the Farm Scale." Forests 10, no. 11 (2019): 980. http://dx.doi.org/10.3390/f10110980.

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Background: Agroforestry systems can improve the provision of ecosystem services at the farm scale whilst improving agricultural productivity, thereby playing an important role in the sustainable intensification of agriculture. Natural capital accounting offers a framework for demonstrating the capacity of agroforestry systems to deliver sustained private benefits to farming enterprises, but traditionally is applied at larger scales than those at which farmers make decisions. Methods: Here we review the current state of knowledge on natural capital accounting and analyse how such an approach m

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Krzyworzeka, Amanda. "Decision-making in farming households in eastern Poland." Focaal 2013, no. 65 (2013): 129–44. http://dx.doi.org/10.3167/fcl.2013.650111.

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The agricultural situation in Poland has been changing significantly during the last decades. In 1989, the predictability of the communist centrally planned economy was replaced by the unexpectedness and "invisible hand" of the free market economy. The socialist welfare state has been replaced by new modes of support, introduced by European Union (EU). On the basis of fieldwork conducted between 2005 and 2008 in farming communities in eastern Poland, I focus on decision making among small-scale farmers. This article addresses decision-making processes and their sociocultural context, including

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Kostenarov, Krasimir, and Ivan Boevsky. "Use of V-AHP model for strategic decision making in agricultural enterprises." Scientific Works LXIII, no. 1 (2022): 46–56. http://dx.doi.org/10.22620/sciworks.2021.01.005.

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Strategic decision-making in organizations is related to assessing the impact of many factors. Often such decisions are made intuitively by the management, or on the basis of its experience and expectations for the development of the sector in which they operate and the market. The use of multi-criteria analysis methods can help to achieve objectivity in making these decisions, as well as to quantify the various alternatives faced by the business. A barrier to the application of multicriteria analysis is its relative complexity, especially in the context of small and medium-sized agricultural

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BABA, Kenshi, Osamu KIMURA, and Tatsujiro SUZUKI. "Social Decision Making Process to Address Environmental Disputes on Wind Farm Siting." SOCIOTECHNICA 3 (2005): 241–58. http://dx.doi.org/10.3392/sociotechnica.3.241.

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22

Coteur, Ine, Fleur Marchand, Lies Debruyne, Floris Dalemans, and Ludwig Lauwers. "A framework for guiding sustainability assessment and on-farm strategic decision making." Environmental Impact Assessment Review 60 (September 2016): 16–23. http://dx.doi.org/10.1016/j.eiar.2016.04.003.

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23

Mwanga, G., E. Mbega, Z. Yonah, and M. G. G. Chagunda. "How Information Communication Technology Can Enhance Evidence-Based Decisions and Farm-to-Fork Animal Traceability for Livestock Farmers." Scientific World Journal 2020 (December 17, 2020): 1–12. http://dx.doi.org/10.1155/2020/1279569.

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Due to changes in the livestock sector and the rise of consumer demand for comprehensive and integrated food security and safety, there has been a concern on the use of farm data in enhancing animal traceability and decision-making by farmers and other decision-makers in the livestock sector. To ensure high production through effective decision-making and auditable standards, producers are required to have better traceability and record systems. Therefore, this study aimed at (1) reviewing the current recording/data management and animal traceability systems used by small-scale farmers in deve

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Cantillon, Marion. "Decisions decisions – A farmer's mitigation dilemma." Boolean 2022 VI, no. 1 (2022): 1–8. http://dx.doi.org/10.33178/boolean.2022.1.1.

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Livestock producers are under rising pressure to nourish a growing population while simultaneously reducing the impact of meat/milk production on the planets’ climate. Decision Support Tools (DST) provide a valuable evidence-based decision-making framework in agriculture to improve productivity and environmental outputs. Decision Support Tools are often developed and designed by local stakeholders and tend to represent their national system. While current DSTs may be used to examine the impact of management choices on farm emissions, there are relatively few tools available for Irish farms tha

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Khanal, Aditya R. "Interlinked diversification strategies: evidence from the US farm business households." Journal of Agribusiness in Developing and Emerging Economies 10, no. 3 (2020): 253–68. http://dx.doi.org/10.1108/jadee-10-2018-0144.

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PurposeThe agricultural sector in the USA has experienced significant structural changes. For accommodating farm business, households have diversified their operations adopting various strategies—agricultural, structural, environmental, and income strategies. The purpose of this study is to analyze the factors influencing farmer’s diversification strategies while taking into account the simultaneous decision-making process.Design/methodology/approachThis study uses a nation-wide farm household data from the US. The diversification decisions are analyzed using multivariate probit regressions.Fi

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Wagner, Brooklyn K., Mary Caitlin Cramer, Heather N. Fowler, et al. "Determination of Dairy Cattle Euthanasia Criteria and Analysis of Barriers to Humane Euthanasia in the United States: Dairy Producer Surveys and Focus Groups." Animals 10, no. 5 (2020): 770. http://dx.doi.org/10.3390/ani10050770.

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There are currently no clear guidelines in the US and some other countries regarding euthanasia decision making timelines for dairy cattle that become injured or ill to the extent that recovery is unlikely or impossible. Our study aimed to identify decision making criteria and the most common factors considered when making and carrying out euthanasia decisions. Dairy producers were recruited to participate in a mailed survey (Part I, 307 completed surveys were returned) or in one of three focus groups (Part II, 8–10 producers/group, n = 24). Part I (survey): Farm owners were most commonly resp

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Begho, Toritseju. "Rice varietal selection in Bangladesh: Does it matter who in the farm household makes the decisions?" Experimental Agriculture 57, no. 4 (2021): 255–69. http://dx.doi.org/10.1017/s0014479721000211.

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AbstractThis paper examines whether rice adoption decision differs between sole decision-making and collaborative decision-making in which household members jointly decide on rice varietal selection. Overall, the results show that the majority of rice farmers currently cultivate older rice varieties. The average varietal age is 22 years. Adopters and non-adopters are significantly different in several observed characteristics; however, most of the differences are small. Specifically, between adopter and non-adopters, there is a statistically significant difference in the average varietal age o

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Griffin, Terry W., Craig L. Dobbins, Tony J. Vyn, Raymond J. G. M. Florax, and James M. Lowenberg-DeBoer. "Spatial analysis of yield monitor data: case studies of on-farm trials and farm management decision making." Precision Agriculture 9, no. 5 (2008): 269–83. http://dx.doi.org/10.1007/s11119-008-9072-2.

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Kofi, Adanu Selase, Boakye Maxwell Kwame, Xiaoting Hou Jones, and Renwick Alan. "Agricultural expansion and trade-off decision making using analytic hierarchy process in Ghana." International Journal of Asian Social Science 13, no. 8 (2023): 250–62. http://dx.doi.org/10.55493/5007.v13i8.4857.

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The current study sought to investigate the factors influencing the conversion of forest lands to agricultural areas, which is primarily a result of agricultural expansion. This phenomenon is recognized as a significant driver of land use and land cover change in Ghana. Data was collected from land managers (commercial and subsistence farmers) who are major decision-makers on accelerated farm land expansion in districts known for large-scale food and tree crop production. The method used for data collection was the Analytical Hierarchy Process (AHP). APH was used to assess factors that influen

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Kalanzi, Fred, Prossy Isubikalu, Florence B. Kyazze, Lawrence J. B. Orikiriza, Isaac Kiyingi, and Habtemariam Assefa. "Intra-household decision-making among smallholder agroforestry farmers in the eastern highlands of Uganda." International Journal of Agricultural Extension 8, no. 2 (2020): 97–111. http://dx.doi.org/10.33687/ijae.008.02.3251.

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This paper examines the intra-household decision-making patterns among spouses regarding agroforestry decisions in the eastern highlands of Uganda. The study uses both quantitative and qualitative data to examine spousal differences in the allocation of decision-making power over eight agroforestry decisions in dual-headed households. Quantitative data were collected through a cross-sectional survey in which both husbands and wives were interviewed separately and used to determine the decision-making power of spouses as well as the influence of individual and household characteristics on decis

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Yu., Tararico, and Lukashuk V. "Intellectual decision-making technology in agricultural production." Artificial Intelligence 27, jai2022.27(1) (2022): 219–28. http://dx.doi.org/10.15407/jai2022.01.219.

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Objective assessment of agro-resource potential of regions, understanding of the principles of forming the optimal structure of production in relation to soil and climatic conditions and energy potential, analysis of factors influencing the use of certain means of production, allows producers to make close to optimal current and strategic decisions. To do this, all industrial resources must be considered not separately, but in a complex structure of the agricultural production system in order to ensure the most rational use of them in optimal quantities and interaction. To strengthen the food

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Rahman, Md Wakilur, Md Salauddin Palash, Hasneen Jahan, Shokhrukh-Mirzo Jalilov, and Mohammed Mainuddin. "An Empirical Investigation of Men’s Views of Women’s Contribution to Farming in Northwest Bangladesh." Sustainability 12, no. 9 (2020): 3521. http://dx.doi.org/10.3390/su12093521.

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This paper verifies the statement that “women contribute greatly to growing crops year-round, but their work is not recognized” through in-depth empirical investigation of their participation in rice and vegetable production and farm decision-making processes in Northwest Bangladesh. Interviews were held with 240 randomly selected couples (husband and wife interviewed separately) to document their views of the female’s participation in crop farming activities and farm and household decision-making. The findings reveal that women play a substantial role in farming and are increasingly involved

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Aboaba, Kazeem Oriyomi, Tohib Oyeyode Obalola, Samson Oluwaseyi Afolayan, and Olajumoke Akingba. "Utjecaj moći odlučivanja žena na status uhranjenosti ruralne djece u državi Ogun u Nigeriji." Croatian review of economic, business and social statistics 9, no. 2 (2023): 123–35. http://dx.doi.org/10.62366/crebss.2023.2.004.

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Women's authority over specific family decisions tends to increase their financial security and power, which has an impact on their children's general health and well-being. A multistage sampling process was employed to choose 120 households. Primary data on the children's nutritional status, the household's socioeconomic characteristics, and women decision making were gathered using a well-structured questionnaire. The children's mean body mass index was 9.62 kg/m2, indicating underweight. It was also demonstrated that women had little influence over the quantity of farm produce consumed or s

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Prato, Tony, Chris Fulcher, Shunxiang Wu, and Jian Ma. "Multiple-Objective Decision Making for Agroecosystem Management." Agricultural and Resource Economics Review 25, no. 2 (1996): 200–212. http://dx.doi.org/10.1017/s1068280500007863.

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Multiple-objective decision making (MODEM) provides an effective framework for integrated resource assessment of agroecosystems. Two elements of integrated assessment are discussed and illustrated: (1) adding noneconomic objectives as constraints in an optimization problem; and (2) evaluating tradeoffs among competing objectives using the efficiency frontier for objectives. These elements are illustrated for a crop farm and watershed in northern Missouri. An interactive, spatial decision support system (ISDSS) makes the MODEM framework accessible to unsophisticated users. A conceptual ISDSS is

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Glukhikh, I. N., A. S. Prokhoshin, D. I. Glukhikh, and T. A. Filatova. "Computer vision neural networks in support systems for making decision on a smart farm." Вестник российской сельскохозяйственной науки, no. 1 (May 20, 2024): 53–57. http://dx.doi.org/10.31857/s2500208224010121.

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The creation of smart farms and urban farms (city farm) has become one of the development trends in recent years, both in agroengineering and in urban construction. A high level of automation significantly reduces the degree of human participation in the production processes of a smart farm. As a result, the requirements for the experience and professional knowledge in the field of agriculture of the owner and staff of such a farm are reduced. The article discusses the issues of creating intelligent decision support systems for a “smart” agricultural farm, in particular, for urban, city farms.

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Walls, Kayla N., and Gretchen A. Mosher. "Factors that Influence Farm Safety Decisions of Young Adults when Entering Agricultural Grain Bins." Journal of Agricultural Safety and Health 27, no. 3 (2021): 147–58. http://dx.doi.org/10.13031/jash.14450.

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Highlights A grain handling scenario-based survey was administered to college students studying agriculture. Participants chose an action after reading each scenario and ranked factors affecting their decision-making. Most participants chose a “safe” option and claimed to value their personal safety when making decisions. Parental authority and pressure had little influence on participants’ decisions to enter grain bins. Abstract. The approaches that parents take in the supervision of youth who perform hazardous tasks on family farms can affect youth safety outcomes. This research examines the

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Krishna, N. Leela. "Involvement of Farm Women in Decision Making of Dairy Farm Activities in Krishna District of Andhra Pradesh." Indian Research Journal of Extension Education 22, no. 1 (2022): 118–22. http://dx.doi.org/10.54986/irjee/2022/jan_mar/118-122.

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An investigation was conducted to study the involvement of farm women in decision making of different dairy farm activities in Krishna district of Andhra Pradesh .A total of 225 farm women were selected based on their land holding capacity. The study revealed that majority of the women in the study area took part in decision making on most of the dairy farm activities such as choosing the breed of the animal (68%), taking loans (79.11), purchase/ sale of animals (81.33), insurance of animals (77.77%), culling of animals (69.33%), construction of sheds (70.22%), farm expansion (72%), feeding of

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Smith, Matthew J. "Getting value from artificial intelligence in agriculture." Animal Production Science 60, no. 1 (2020): 46. http://dx.doi.org/10.1071/an18522.

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Artificial intelligence (AI) is beginning to live up to its promise of delivering real value, driven by recent advances in the availability of relevant data, computation and algorithms. In the present paper, I discuss the value to agriculture from AI over the next decade. The more immediate applications will be to improve precision information about what is happening on the farm by improving what is being detected and measured. A consequence of this are more accurate alerts to farmers. Another is an increased ability to understand why phenomena occur in farm systems, so as to improve their man

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Rogers, Denise M., and Ann M. Vandeman. "Women as Farm Landlords: Does Gender Affect Environmental Decision-Making on Leased Land?" Rural Sociology 58, no. 4 (2010): 560–68. http://dx.doi.org/10.1111/j.1549-0831.1993.tb00512.x.

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JOUBERT, J. S. G. "THE INFLUENCE OF THE ECONOMIC/FINANCIAL ENVIRONMENT ON FARM MANAGEMENT AND DECISION-MAKING." Agrekon 26, no. 3 (1987): 31–35. http://dx.doi.org/10.1080/03031853.1987.9524109.

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Hughes, Gareth, and Fiona J. Burnett. "Integrating Experience, Evidence and Expertise in the Crop Protection Decision Process." Plant Disease 99, no. 9 (2015): 1197–203. http://dx.doi.org/10.1094/pdis-02-15-0197-fe.

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Generically, farm-scale crop protection decision making may be characterized as a process beginning with an initial assessment of disease risk followed by the accumulation of evidence related to current risk factors, leading to a risk prediction. What action is then taken depends on the response of the decision owner, taking into account previous experience, advice from trusted sources, alongside policy or legislative constraints on crop protection practice that are intended to mitigate any impacts that may transcend the farm scale. This process has commonalities with decision-making in the st

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Yang, Yang, Hua Li, Zhen Liu, Long Cheng, Assem Abu Hatab, and Jing Lan. "Effect of Forestland Property Rights and Village Off-Farm Environment on Off-Farm Employment in Southern China." Sustainability 12, no. 7 (2020): 2605. http://dx.doi.org/10.3390/su12072605.

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Reasonably promoting the off-farm employment of rural surplus labor in China’s collective forest areas is an important way to increase forest resources and increase farmers’ income. China’s new round of collective forest tenure reform (CFTR) aims to optimize forest area labor allocation by strengthening forestland property rights. Therefore, in different village off-farm environments, it is necessary to explore how forestland property rights affect off-farm employment in forest areas. Based on survey data from 742 households in Zhejiang and Jiangxi provinces, this paper examines this effect us

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Griffith, Bruce, Paul Harris, and Grice Phil Le. "On the design of AI-driven decision support tools in agriculture: what is possible, practical, and useful for land managers and farmers and what is not?" ARPHA Conference Abstracts 8 (May 28, 2025): e152395. https://doi.org/10.3897/aca.8.e152395.

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Advances in the computational sciences and AI have been critical in simulating the projected impacts of climate change in agriculture together with quantifying mitigation strategies to reduce agriculture's influence on climate change. The role of computation in bringing understanding to agroecosystem change from the farm to national scales is pervasive, being central for remote and ground IoT sensing, big data analysis, process simulation, data assimilation, the capture of error and uncertainty, sensor network design and interactive visualization of high dimensional outputs. Component farm pro

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Pairis-Garcia, Monique, and Ivelisse Robles. "283 Timely Euthanasia on Farm; Dairy Cattle and Swine." Journal of Animal Science 99, Supplement_1 (2021): 10. http://dx.doi.org/10.1093/jas/skab054.016.

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Abstract Euthanasia of mature swine and cattle can be challenging. On-farm euthanasia should be used as a tool to eliminate pain and suffering. However, clear guidelines regarding making euthanasia decisions and alternative euthanasia techniques available for use is limited in the United States (US). In order to prevent prolonged suffering and pain in compromised animals, science-based recommendations are needed to ensure timely and humane euthanasia can be performed when needed on-farm. This presentation will focus on two euthanasia challenges currently faced in swine and dairy cattle systems

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Kousar, Sajida, and Nasreen Kausar. "Multi-Criteria Decision-Making for Sustainable Agritourism: An Integrated Fuzzy-Rough Approach." Spectrum of Operational Research 2, no. 1 (2024): 134–50. http://dx.doi.org/10.31181/sor21202515.

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Agriculture remains the backbone of Pakistan’s economy, supporting a substantial segment of the rural population. Recently, agritourism has emerged as a viable avenue for economic diversification, offering new income streams in rural communities. This study explores stakeholder perceptions of sustainable development in agritourism and seeks to identify the key criteria and alternatives necessary for strategic decision-making in this sector. The fuzzy rough set approach is used for multi-criteria decision-making on the data collected from a questionnaire-based survey. Seven alternatives are ana

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Žibert, Maja, Črtomir Rozman, Andrej Škraba, and Boris Prevolšek. "A System Dynamics Approach to Decision-making Tools in Farm Tourism Development." Business Systems Research Journal 11, no. 2 (2020): 132–48. http://dx.doi.org/10.2478/bsrj-2020-0020.

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AbstractBackground: Besides visiting the main tourist attractions in Slovenia, many tourists want to spend their free time in the countryside as well, but the number of farming establishments in Slovenia diminished distinctly in the last years.Objectives: This paper aims to develop a system dynamics model, with the goal to analyse dynamics of the diversification of agricultural holdings into farm tourism activities in Slovenia.Methods/Approach: A system dynamics methodology was chosen to model the diversification in farm tourism. First, we present a basic concept of a system dynamics model wit

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Tapia, Maricel, Juan Pulhin, Gloria Luz Nelson, et al. "Involvement of Women in Farm Decision-making and Adaptive Capacity to Extreme Events of Farming Households in Ligao City, Albay, Philippines." Journal of Environmental Science and Management 21, no. 2 (2018): 70–81. http://dx.doi.org/10.47125/jesam/2018_2/09.

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This study examined the involvement of women in agricultural decision-making among farming households in Ligao City, Albay, Philippines and related this to enhancement or decline of their adaptive capacity to extreme weather events. Data were collected through a household survey in the three selected barangays representing coastal, lowland and upland communities. More than 50% of husbands solely made decisions on choice of food crops, cash crops, tree species, and farm production. This parallel findings in the Philippines showing male dominance in agricultural production. Nevertheless, women s

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Ahmed, Rohail, Hafiz Muhammad Khurram Ali, and Qasim Habib. "Development of Decision Support System for Solar Farm Location on CPEC using GIS and Forecasting." International Journal of Advanced Natural Sciences and Engineering Researches 7, no. 5 (2023): 93–99. http://dx.doi.org/10.59287/ijanser.908.

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Due to the increasing expansion of renewable energy sources, it is essential to use effective decision-making techniques when picking ideal places for solar farms. This research uses geographic information systems (GIS) and forecasting methods to offer a decision support system (DSS) for identifying solar farm locations along the China-Pakistan Economic Corridor (CPEC). Helping stakeholders, decisionmakers, and investors locate the best locations for solar farm projects inside the CPEC region is the goal. In order to examine numerous spatial and non-spatial elements that affect the feasibility

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Josimović, Boško, Danijela Srnić, Božidar Manić, and Ivana Knežević. "Multi-Criteria Evaluation of Spatial Aspects in the Selection of Wind Farm Locations: Integrating the GIS and PROMETHEE Methods." Applied Sciences 13, no. 9 (2023): 5332. http://dx.doi.org/10.3390/app13095332.

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Apart from wind potential, there are many other spatial factors which impact the possible implementation of wind farm projects. The spatial advantages and limitations of these factors can be used as criteria for selecting the most suitable location for a potential wind farm. The specific method for evaluating wind farm locations in this paper is novel because of its choice of spatial criteria and its two-stage evaluation procedure. The first stage involves the elimination of unfavorable areas for locating a wind farm, based on elimination criteria, using GIS. The second stage is the selection

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Ruchynska, Natalia. "ECONOMIC AND STATISTICAL ANALYSIS OF FARMERS' ACTIVITY." Economic Analysis, no. 28(4) (2018): 287–94. http://dx.doi.org/10.35774/econa2018.04.287.

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Introduction. Improvement of the process of making managerial decisions and, accordingly, improvement of the quality of the decisions made is achieved through the use of scientific approach, models and methods of decision-making. Methods of economic and mathematical modeling allow to solve a number of issues related to the development of alternative areas of activity, optimization of the structure, production costs and sales of farm products. Therefore, it is expedient to use them for making managerial decisions at farms. Purpose. The article aims to carry out the economic and statistical anal

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