Remote Sensing Evaluation Drone Herbicide Application Effectiveness for Controlling Echinochloa spp. in Rice Crop in Valencia (Spain)

Author:

Bautista Alberto San1,Tarrazó-Serrano Daniel2ORCID,Uris Antonio2,Blesa Marta3,Estruch-Guitart Vicente4,Castiñeira-Ibáñez Sergio2ORCID,Rubio Constanza2ORCID

Affiliation:

1. Departamento de Producción Vegetal, Universitat Politècnica de València, 46022 Valencia, Spain

2. Centro de Tecnologías Físicas, Universitat Politècnica de València, 46022 Valencia, Spain

3. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural, Universitat Politècnica de València, 46022 Valencia, Spain

4. Departamento de Economía y Ciencias Sociales, Universitat Politècnica de València, 46022 Valencia, Spain

Abstract

Rice (Oryza sativa L.) is a staple cereal in the diet of more than half of the world’s population. Within the European Union, Spain is a leader in rice production due to its climate and tradition, accounting for 26% of total EU production in 2020. The Valencian rice area covers around 15,000 hectares and is strongly influenced by biotic and abiotic factors. An important biotic factor affecting rice production is weeds, which compete with rice for sunlight, water and nutrients. The dominant weed in Spain is Echinochloa spp., although wild rice is becoming increasingly important. Rice cultivation in Valencia takes place in the area of L’Albufera de Valencia, which is a natural park, i.e., a special protection area. In this natural area, the use of phytosanitary products is limited, so it is necessary to use the minimum amount possible. Therefore, the objective of this work is to evaluate the possibility of using remote sensing effectively to determine the effectiveness of the application of the herbicide cyhalofop-butyl by drone for the control of Echinochloa spp. in rice crops in Valencia. The results will be compared with those obtained by using sterilisation machines (electric backpack sprayers) to apply the herbicide. To evaluate the effectiveness of the application, the reflectance obtained by the satellite sensors in the red and near infrared (NIR) wavelengths, as well as the normalised difference vegetation index (NDVI), were used. The remote sensing results were analysed and complemented by the number of rice plants and weeds per area, plant dry weight, leaf area, BBCH phenological state, SPAD index values, chlorophyll content and relative growth rate. Remote sensing is validated as an effective tool for determining the efficacy of an herbicide in controlling weeds applied by both the drone and the electric backpack sprayer. The weeds slowed down their development after the treatment. Depending on the phenological state of the crop and the active ingredient of the herbicide, these results are applicable to other areas with different climatic and environmental conditions.

Funder

Pprogram Cátedra IDS-ECOFORCE

Publisher

MDPI AG

Reference63 articles.

1. Bhandari, H. (2019, January 30). Global rice production, consumption and trade: Trends and future directions. Proceedings of the Korean Society of Crop Science Conference, Jinju, Korea.

2. (2023, July 06). FAOSTAT. Available online: https://www.fao.org/faostat/es/#home.

3. MAPA (2022, April 09). Ministerio de Agricultura, Pesca y Alimentación, Available online: https://www.mapa.gob.es/es/default.aspx.

4. Crop losses to pests;Oerke;J. Agric. Sci.,2006

5. Influence of weed competition on cotton;Buchanan;Weed Sci.,1970

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