Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures
The quantification of forage availability in tropical grasses is generally done in a destructive and time-consuming manner, involving cutting, weighing, and waiting for drying. To expedite this process, non-destructive methods can be used, such as unmanned aerial vehicles (UAVs) equipped with high-d...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-09-01
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| Series: | AgriEngineering |
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| Online Access: | https://www.mdpi.com/2624-7402/5/3/100 |
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| author | Patrick Bezerra Fernandes Camila Alves dos Santos Antonio Leandro Chaves Gurgel Lucas Ferreira Gonçalves Natália Nogueira Fonseca Rafaela Borges Moura Kátia Aparecida de Pinho Costa Tiago do Prado Paim |
| author_facet | Patrick Bezerra Fernandes Camila Alves dos Santos Antonio Leandro Chaves Gurgel Lucas Ferreira Gonçalves Natália Nogueira Fonseca Rafaela Borges Moura Kátia Aparecida de Pinho Costa Tiago do Prado Paim |
| author_sort | Patrick Bezerra Fernandes |
| collection | DOAJ |
| description | The quantification of forage availability in tropical grasses is generally done in a destructive and time-consuming manner, involving cutting, weighing, and waiting for drying. To expedite this process, non-destructive methods can be used, such as unmanned aerial vehicles (UAVs) equipped with high-definition cameras, mobile device images, and the use of the normalized difference vegetation index (NDVI). However, these methods have been underutilized in tropical pastures. A literature review was conducted to present the current state of remote tools’ use in predicting forage availability and quality in tropical pastures. Few publications address the use of non-destructive methods to estimate forage availability in major tropical grasses (<i>Megathyrsus maximus</i>; <i>Urochloa</i> spp.). Additionally, these studies do not consider the fertility requirements of each cultivar and the effect of management on the phenotypic plasticity of tillers. To obtain accurate estimates of forage availability and properly manage pastures, it is necessary to integrate remote methods with in situ collection of soil parameters. This way, it will be possible to train machine learning models to obtain precise and reliable estimates of forage availability for domestic ruminant production. |
| first_indexed | 2024-03-10T23:08:55Z |
| format | Article |
| id | doaj.art-d9e3df0286474eab96d814a748dd797d |
| institution | Directory Open Access Journal |
| issn | 2624-7402 |
| language | English |
| last_indexed | 2024-03-10T23:08:55Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AgriEngineering |
| spelling | doaj.art-d9e3df0286474eab96d814a748dd797d2023-11-19T09:08:41ZengMDPI AGAgriEngineering2624-74022023-09-01531614162910.3390/agriengineering5030100Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical PasturesPatrick Bezerra Fernandes0Camila Alves dos Santos1Antonio Leandro Chaves Gurgel2Lucas Ferreira Gonçalves3Natália Nogueira Fonseca4Rafaela Borges Moura5Kátia Aparecida de Pinho Costa6Tiago do Prado Paim7Instituto Federal de Educação, Ciência e Tecnologia Goiano, Rodovia Sul Goiana, Km 01, Zona Rural, Rio Verde 75901-970, BrazilInstituto Federal de Educação, Ciência e Tecnologia Goiano, Rodovia Sul Goiana, Km 01, Zona Rural, Rio Verde 75901-970, BrazilAnimal Science, Universidade Federal do Piauí Campus Professora Cinobelina, Bom Jesus 64900-000, BrazilInstituto Federal de Educação, Ciência e Tecnologia Goiano, Rodovia Sul Goiana, Km 01, Zona Rural, Rio Verde 75901-970, BrazilInstituto Federal de Educação, Ciência e Tecnologia Goiano, Rodovia Sul Goiana, Km 01, Zona Rural, Rio Verde 75901-970, BrazilInstituto Federal de Educação, Ciência e Tecnologia Goiano, Rodovia Sul Goiana, Km 01, Zona Rural, Rio Verde 75901-970, BrazilInstituto Federal de Educação, Ciência e Tecnologia Goiano, Rodovia Sul Goiana, Km 01, Zona Rural, Rio Verde 75901-970, BrazilInstituto Federal de Educação, Ciência e Tecnologia Goiano, Rodovia Sul Goiana, Km 01, Zona Rural, Rio Verde 75901-970, BrazilThe quantification of forage availability in tropical grasses is generally done in a destructive and time-consuming manner, involving cutting, weighing, and waiting for drying. To expedite this process, non-destructive methods can be used, such as unmanned aerial vehicles (UAVs) equipped with high-definition cameras, mobile device images, and the use of the normalized difference vegetation index (NDVI). However, these methods have been underutilized in tropical pastures. A literature review was conducted to present the current state of remote tools’ use in predicting forage availability and quality in tropical pastures. Few publications address the use of non-destructive methods to estimate forage availability in major tropical grasses (<i>Megathyrsus maximus</i>; <i>Urochloa</i> spp.). Additionally, these studies do not consider the fertility requirements of each cultivar and the effect of management on the phenotypic plasticity of tillers. To obtain accurate estimates of forage availability and properly manage pastures, it is necessary to integrate remote methods with in situ collection of soil parameters. This way, it will be possible to train machine learning models to obtain precise and reliable estimates of forage availability for domestic ruminant production.https://www.mdpi.com/2624-7402/5/3/100mobile devicedronesoil nutrients<i>Megathyrsus maximus</i><i>Urochloa</i> spp. |
| spellingShingle | Patrick Bezerra Fernandes Camila Alves dos Santos Antonio Leandro Chaves Gurgel Lucas Ferreira Gonçalves Natália Nogueira Fonseca Rafaela Borges Moura Kátia Aparecida de Pinho Costa Tiago do Prado Paim Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures AgriEngineering mobile device drone soil nutrients <i>Megathyrsus maximus</i> <i>Urochloa</i> spp. |
| title | Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures |
| title_full | Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures |
| title_fullStr | Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures |
| title_full_unstemmed | Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures |
| title_short | Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures |
| title_sort | non destructive methods used to determine forage mass and nutritional condition in tropical pastures |
| topic | mobile device drone soil nutrients <i>Megathyrsus maximus</i> <i>Urochloa</i> spp. |
| url | https://www.mdpi.com/2624-7402/5/3/100 |
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