Monografia

Levantamento de Plantas infestantes na Safra de Soja 2019-2020

The present article refers to all activities that were performed during the internship, focusing on precision agriculture and parasitic weed control, where he was accompanied by the company Singular Agro. Damaged plants can cause variations of 10 to 90% in the competition for nutrients, light and wa...

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Autor principal: Tosta, Lucas Silva
Grau: Monografia
Idioma: pt_BR
Publicado em: Universidade Federal do Tocantins 2021
Assuntos:
Acesso em linha: http://hdl.handle.net/11612/3159
id ir-11612-3159
recordtype dspace
spelling ir-11612-31592021-10-01T06:00:53Z Levantamento de Plantas infestantes na Safra de Soja 2019-2020 Tosta, Lucas Silva Fidelis, Rodrigo Ribeiro Plantas daninhas Singular agro Agricultura de precisão Monitoramento Weed Singular agro Precision agriculture Monitoring CNPQ::CIENCIAS AGRARIAS::AGRONOMIA The present article refers to all activities that were performed during the internship, focusing on precision agriculture and parasitic weed control, where he was accompanied by the company Singular Agro. Damaged plants can cause variations of 10 to 90% in the competition for nutrients, light and water, in addition to being able to host pests and increase the costs of cleaning and cleaning. Losses such as these are reduced by handling the crop with the decision to take and evaluate the benefit of the applications. Various control methods are available, such as preventive, chemical, physical, mechanical, cultural and biological. As several practices aim at a control with greater efficiency and less environmental impact, therefore technical knowledge is needed to determine how actions are applied. During the internship, we conducted or surveyed the main weeds in three properties in southern Tocantins. Along with the technical supervisor of the internship, the agricultural engineer Alex Sandro Dário, as well as the monitoring, regulation of the machinery used and the necessary recommendations for the control of the emerging flora. O presente trabalho refere-se a todas as atividades que foram realizadas durante o período de estágio, com foco em agricultura de precisão e controle de plantas daninhas, onde foi acompanhado pela empresa Singular Agro. As plantas daninhas podem causar perdas variáveis na produtividade de 10 à 90% pela competição por nutrientes, luz e água, além de poder hospedar pragas e onerar os custos com limpeza e secagem. Perdas como essas são reduzidas a partir do manejo realizado na cultura com a tomada de decisão e avaliação do custo benefício. Dispondo de vários métodos de controle como os preventivos, químico, físico, mecânico, cultural e biológico. As diversas práticas visam controle com maior eficiência e menor impacto ambiental, para isso é necessário conhecimento técnico para determinar as ações adequadas. Durante o período de estágio realizou-se o levantamento das principais plantas daninhas em três propriedades no sul do Tocantins, sob a supervisão do técnico de estágio, o engenheiro agrônomo Alex Sandro Dário, bem como, o monitoramento, regulagem do maquinário utilizado e as recomendações necessárias para o controle da flora emergente. 2021-09-30T13:06:11Z 2021-09-30T13:06:11Z 2021-09-30 Monografia TOSTA, Lucas Silva. Levantamento de Plantas infestantes na Safra de Soja 2019-2020. 2021. 22 f. TCC (Graduação) - Curso de Agronomia, Universidade Federal do Tocantins, Gurupi, 2020. http://hdl.handle.net/11612/3159 pt_BR Acesso Livre application/pdf Universidade Federal do Tocantins Gurupi CURSO::GURUPI::PRESENCIAL::BACHARELADO::AGRONOMIA Gurupi Graduação
institution Repositório Institucional - Universidade Federal do Tocantins - UFT
collection RepositorioUFT
language pt_BR
topic Plantas daninhas
Singular agro
Agricultura de precisão
Monitoramento
Weed
Singular agro
Precision agriculture
Monitoring
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
spellingShingle Plantas daninhas
Singular agro
Agricultura de precisão
Monitoramento
Weed
Singular agro
Precision agriculture
Monitoring
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
Tosta, Lucas Silva
Levantamento de Plantas infestantes na Safra de Soja 2019-2020
topic_facet Plantas daninhas
Singular agro
Agricultura de precisão
Monitoramento
Weed
Singular agro
Precision agriculture
Monitoring
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description The present article refers to all activities that were performed during the internship, focusing on precision agriculture and parasitic weed control, where he was accompanied by the company Singular Agro. Damaged plants can cause variations of 10 to 90% in the competition for nutrients, light and water, in addition to being able to host pests and increase the costs of cleaning and cleaning. Losses such as these are reduced by handling the crop with the decision to take and evaluate the benefit of the applications. Various control methods are available, such as preventive, chemical, physical, mechanical, cultural and biological. As several practices aim at a control with greater efficiency and less environmental impact, therefore technical knowledge is needed to determine how actions are applied. During the internship, we conducted or surveyed the main weeds in three properties in southern Tocantins. Along with the technical supervisor of the internship, the agricultural engineer Alex Sandro Dário, as well as the monitoring, regulation of the machinery used and the necessary recommendations for the control of the emerging flora.
author_additional Fidelis, Rodrigo Ribeiro
author_additionalStr Fidelis, Rodrigo Ribeiro
format Monografia
author Tosta, Lucas Silva
title Levantamento de Plantas infestantes na Safra de Soja 2019-2020
title_short Levantamento de Plantas infestantes na Safra de Soja 2019-2020
title_full Levantamento de Plantas infestantes na Safra de Soja 2019-2020
title_fullStr Levantamento de Plantas infestantes na Safra de Soja 2019-2020
title_full_unstemmed Levantamento de Plantas infestantes na Safra de Soja 2019-2020
title_sort levantamento de plantas infestantes na safra de soja 2019-2020
publisher Universidade Federal do Tocantins
publishDate 2021
url http://hdl.handle.net/11612/3159
_version_ 1787134564549787648
score 11.755432