THE USE OF WEB APPLICATIONS FOR THE SELECTION OF CROP GROWING TECHNOLOGIES

Author:

Lapchenko E. A.,Isakova S. P.,Bobrova T. N.,Kolpakova L. A.

Abstract

It is shown that the application of the Internet technologies is relevant in the selection of crop production technologies and the formation of a rational composition of the machine-and-tractor fl eet taking into account the conditions and production resources of a particular agricultural enterprise. The work gives a short description of the web applications, namely “ExactFarming”, “Agrivi” and “AgCommand” that provide a possibility to select technologies and technical means of soil treatment, and their functions. “ExactFarming” allows to collect and store information about temperature, precipitation and weather forecast in certain areas, keep records of information about crops and make technological maps using expert templates. “Agrivi” allows to store and provide access to weather information in the fi elds with certain crops. It has algorithms to detect and make warnings about risks related to diseases and pests, as well as provides economic calculations of crop profi tability and crop planning. “AgCommand” allows to track the position of machinery and equipment in the fi elds and provides data on the weather situation in order to plan the use of agricultural machinery in the fi elds. The web applications presented hereabove do not show relation between the technologies applied and agro-climatic features of the farm location zone. They do not take into account the phytosanitary conditions in the previous years, or the relief and contour of the fi elds while drawing up technological maps or selecting the machine-and-tractor fl eet. Siberian Physical-Technical Institute of Agrarian Problems of Siberian Federal Scientifi c Center of AgroBioTechnologies of the Russian Academy of Sciences developed a software complex PIKAT for supporting machine agrotechnologies for production of spring wheat grain at an agricultural enterprise, on the basis of which there is a plan to develop a web application that will consider all the main factors limiting the yield of cultivated crops.

Publisher

SFSCA RAS

Reference25 articles.

1. Utenkov G.L., Kalichkin V.K. Sovershenstvovanie metodicheskikh podkhodov k povysheniyu effektivnosti mashinnykh tekhnologii vozdelyvaniya zernovykh kul’tur v usloviyakh Sibiri // Dostizhenie nauki i tekhniki APK. – 2016. – T. 30, № 4. – S. 14–16.

2. Informatsionno-spravochnye sistemy po optimizatsii zemlepol’zovaniya v usloviyakh TsChZ / pod.red. I.I. Vaseneva, G.N. Cherkasova – Kursk: Kurskii TsNTI, 2002. – 118 s.

3. Cherkasov G.N. Metodika proektirovaniya bazovykh elementov adaptivno-landshaftnoi sistemy zemledeliya. – M.: Rossel’khozakademiya, 2010. – 85 s.

4. Petukhovskii S.L., Shamanin V.P., Morgunov A.I., Trushchenko A.Yu., Krasnova Yu. S. Izmenchivost’ klimaticheskikh faktorov i urozhainost’ sortov yarovoi myagkoi pshenitsy selektsii Omskogo GAU v usloviyakh yuzhnoi lesostepi Zapadnoi Sibiri // Vestn. Omskogo GAU. – 2014. – № 1(13). – S. 20–28.

5. Dynya Ya.M., Rusakova M.V., Zhitov V. V. Vliyanie pochvenno-klimaticheskikh uslovii i urovnya udobrennosti na ustoichivost’ urozhaya pshenitsy v usloviyakh lesostepi Priangar’ya // Aktual’nye voprosy agrarnoi nauki. – 2012. – № 5. – S. 5–10.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3