Forage economics calculator web tool: A decision support system for forage management

被引:2
|
作者
Subhashree, Srinivasagan N. [1 ,2 ]
Igathinathane, C. [1 ]
Hendrickson, J. [3 ]
Archer, D. [3 ]
Liebig, M. [3 ]
Halvorson, J. [3 ]
Kronberg, S. [3 ]
Toledo, D. [3 ]
Sedivec, K. [4 ]
Peck, D. [5 ]
机构
[1] North Dakota State Univ, Dept Agr & Biosyst Engn, 1221 Albrecht Blvd, Fargo, ND 58102 USA
[2] Cornell Univ, Dept Anim Sci, Ithaca, NY 14853 USA
[3] USDA ARS, Northern Great Plains Res Lab, 1701 10th Ave SW, Mandan, ND 58554 USA
[4] Cent Grasslands Res Extens Ctr, 4824 48th Ave SE Streeter, Streeter, ND 58483 USA
[5] USDA, Northern Plains Climate Hub, 1701 Ctr Ave, Ft Collins, CO 80526 USA
基金
美国食品与农业研究所;
关键词
Agriculture management; Agricultural economics; Bale collection; Decision support; Farm equipment; Forage; Web tool; BEEF-CATTLE;
D O I
10.1016/j.compag.2023.107775
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Economic analysis of forage production and handling aids in making an educated decision related to growing or buying forage, setting forage prices, and purchasing additional equipment. Manual calculation of economics is highly complex, tedious, and time-consuming. Therefore, a multi-device web-based tool, called the "forage economics calculator web tool"(FECWT) was developed using HTML, CSS, and JavaScript. The tool's interface was designed for a user-friendly experience with easy access to commands set in an easy-to-follow layout. The FECWT uses 29 input variables to generate results "dynamically"for 37 output variables, based either on the supplied default data or with user-provided inputs (imperial or metric units). The tool emphasizes the cost of the bale collection activity performed using tractor or tractor pulling an "automatic bale picker"(ABP), while the cost of other activities (planting, fertilizer & chemical application, harvesting, and baling) are provided as direct inputs. The economic analysis outputs include net return, break-even ratio, payback period, and return on investment. Features of FECWT include the sensitivity of profit to changes in input values, and downloadable reports and charts for record-keeping. Two case studies using farmers' actual field data inputs demonstrated the FECWT's effectiveness, with its generated results corroborating well with farmers' records. The tool allows for "what-if'' scenario analysis related to equipment purchase, effect of forage crop, net-return, and low-inputs scenario for different field areas suggests that an ABP purchase for field areas greater than >= 65 ha (>= 160 ac) could be profitable; alfalfa and corn were the most profitable forage and grain-forage crops, where the grain revenue stream of grain-forage crops easily covers the costs and makes a profit; and a low-inputs scenario (no fertilizers, chemicals, and/or seeds) for forages (alfalfa and grass) decreased the net returns on average by 8.1 times at 50% forage yield potential suggesting the use of all inputs and increased field areas (>= 65 ha) make a better profit in this low-inputs scenario. Potential users of this web tool include farmers, hay producers, custom hay operators, educators, agricultural extension and financial personnel, and others interested in the economics of handling bales.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Comprehensive animal nutrient management system (CANMS) - A decision support tool for nutrient management
    Chen, S
    Zhao, B
    Nelson, R
    Marseli, S
    Stockle, C
    Harrison, J
    Nennich, T
    Tylor, G
    [J]. ANIMAL, AGRICULTURAL AND FOOD PROCESSING WASTES IX, PROCEEDINGS, 2003, : 184 - 191
  • [42] Interdisciplinary web-enabled spatial decision support system for watershed management
    Dymond, RL
    Regmi, B
    Lohani, VK
    Dietz, R
    [J]. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT-ASCE, 2004, 130 (04): : 290 - 300
  • [43] A Web-Based Clinical Decision Support System for Depression Care Management
    Fortney, John C.
    Pyne, Jeffrey M.
    Steven, Christopher A.
    Williams, J. Silas
    Hedrick, Richard G.
    Lunsford, Amanda K.
    Raney, William N.
    Ackerman, Betty A.
    Ducker, Loretta O.
    Bonner, Laura M.
    Smith, Jeffrey L.
    [J]. AMERICAN JOURNAL OF MANAGED CARE, 2010, 16 (11): : 849 - 854
  • [44] Development of a Prototype Web-Based Decision Support System for Watershed Management
    Zhang, Dejian
    Chen, Xingwei
    Yao, Huaxia
    [J]. Water, 2015, 7 (02): : 780 - 793
  • [45] Developing a Web-based decision support system for reservoir flood management
    Ghobadi, Mokhtar
    Kaboli, Hesam Seyed
    [J]. JOURNAL OF HYDROINFORMATICS, 2020, 22 (03) : 641 - 662
  • [46] Web-based GIS and spatial decision support system for watershed management
    Choi, JY
    Engel, BA
    Farnsworth, RL
    [J]. JOURNAL OF HYDROINFORMATICS, 2005, 7 (03) : 165 - 174
  • [47] Developing a Web-based Water Incident Management System with Decision Support
    Pablo, Jazz
    Pajigal, Charmaine Joyce
    Palileo, Christine
    Blancaflor, Eric
    [J]. 2020 IEEE 7TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2020), 2020, : 519 - 524
  • [48] Integrating ranch forage production, cattle performance, and economics in ranch management systems for southern Florida
    Arthington, J. D.
    Roka, F. M.
    Mullahey, J. J.
    Coleman, S. W.
    Muchovej, R. M.
    Lollis, L. O.
    Hitchcock, D.
    [J]. RANGELAND ECOLOGY & MANAGEMENT, 2007, 60 (01) : 12 - 18
  • [49] Development of a Web - Based Decision Support Tool to Operationalize and Optimize Management of Hyperbilirubinemia in Preterm Infants
    Palma, Jonathan P.
    Arain, Yassar H.
    [J]. CLINICS IN PERINATOLOGY, 2016, 43 (02) : 375 - +
  • [50] MCDA Calculator: A Streamlined Decision Support System for Multi-criteria Decision Analysis
    Huang, He
    Burgherr, Peter
    [J]. DECISION SUPPORT SYSTEMS XIV: HUMAN-CENTRIC GROUP DECISION, NEGOTIATION AND DECISION SUPPORT SYSTEMS FOR SOCIETAL TRANSITIONS, ICDSST 2024, 2024, 506 : 31 - 45