CROP PRODUCTION COSTS, PROFITS, AND ECOSYSTEM STEWARDSHIP WITH PRECISION AGRICULTURE

被引:21
|
作者
Schimmelpfennig, David [1 ]
机构
[1] USDA, RRED, Econ Res Serv, Washington, DC 20250 USA
关键词
Crop production; information technologies; on-farm ecosystem stewardship;
D O I
10.1017/aae.2017.23
中图分类号
F3 [农业经济];
学科分类号
0202 ; 020205 ; 1203 ;
摘要
Ecosystem stewardship is an important goal of crop production management. The developing question has been the feasibility and profitability of best management practices (BMPs) associated with stewardship goals. Treatment-effects empirical estimates show that soybean crop ecosystem stewardship is likely to benefit from precision agriculture's (PA) information technologies to varying degrees. After accounting for the effect of overhead expenditures on technology adoption, and input costs on operating costs and profits, we show PA technologies also affect at least six BMPs. In one comprehensive framework, PA technologies affect profits, and improve crop production management through BMPs, with benefits for ecosystem stewardship.
引用
收藏
页码:81 / 103
页数:23
相关论文
共 50 条
  • [21] Precision Agriculture in Potato Production
    Cambouris, A. N.
    Zebarth, B. J.
    Ziadi, N.
    Perron, I.
    POTATO RESEARCH, 2014, 57 (3-4) : 249 - 262
  • [22] Precision Agriculture in Potato Production
    A. N. Cambouris
    B. J. Zebarth
    N. Ziadi
    I. Perron
    Potato Research, 2014, 57 : 249 - 262
  • [23] PRODUCTION, COSTS AND PROFITS - DUTCH - VANDERZIJPP,I
    FEENSTRA, DW
    ECONOMIST, 1975, 123 (02): : 307 - 309
  • [24] Development of a conservation-oriented precision agriculture system: Crop production assessment and plan implementation
    Kitchen, NR
    Sudduth, KA
    Myers, DB
    Massey, RE
    Sadler, EJ
    Lerch, RN
    Hummel, JW
    Palm, HL
    JOURNAL OF SOIL AND WATER CONSERVATION, 2005, 60 (06) : 421 - 430
  • [25] Respecification of the resources of production agriculture: Profits and risk.
    Saxowsky, DM
    Wachenheim, CJ
    JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS, 2001, 26 (02): : 559 - 559
  • [26] Machine Vision Systems in Precision Agriculture for Crop Farming
    Mavridou, Efthimia
    Vrochidou, Eleni
    Papakostas, George A.
    Pachidis, Theodore
    Kaburlasos, Vassilis G.
    JOURNAL OF IMAGING, 2019, 5 (12)
  • [27] Adoption of precision agriculture technologies by German crop farmers
    Margit Paustian
    Ludwig Theuvsen
    Precision Agriculture, 2017, 18 : 701 - 716
  • [28] Harvesting the Benefits of Precision Agriculture in an Uruguayan Rice Crop
    Camila, Bonilla
    Jose, Terra A.
    Lucia, Gutierrez
    Alvaro, Roel
    AGROCIENCIA-URUGUAY, 2015, 19 (01): : 112 - 121
  • [29] Weed and Crop Classification with Domain Adaptation for Precision Agriculture
    Ekinci, Seydanur
    Aptoula, Erchan
    29TH IEEE CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS (SIU 2021), 2021,
  • [30] Spatial analysis of crop yields maps in precision agriculture
    Mezera, Jiri
    Lukas, Vojtech
    Elbl, Jakub
    Smutny, Vladimir
    PROCEEDINGS OF 25TH INTERNATIONAL PHD STUDENTS CONFERENCE (MENDELNET 2018), 2018, : 60 - 65