Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Tatiana Fernanda Canata"'
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 361-374 (2024)
The adoption of artificial intelligence tools can improve production efficiency in the agroindustry. Our objective was to perform the predictive modeling of carrot yield and quality. The crop was grown in two commercial areas during the summer season
Externí odkaz:
https://doaj.org/article/500adc93920848218131b920c5471e4f
Autor:
Eduardo de Carvalho Machione, Renata Fernandes de Queiroz, Afonso Lopes, Carlos Eduardo Angeli Furlani, Tatiana Fernanda Canata
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1434 (2024)
The adoption of a no-till system presents difficulties in maintaining the potential crop yield under long-term conditions when compacted soil layers are observed in the field. The research objective was to assess the benefits of soil intervention in
Externí odkaz:
https://doaj.org/article/b11e86235c0d4b6d872d7eca2fe71d1f
Autor:
Leonardo Felipe Maldaner, Tatiana Fernanda Canata, Carlos Tadeu dos Santos Dias, José Paulo Molin
Publikováno v:
Scientia Agricola, Vol 78, Iss 5 (2020)
ABSTRACT: The adaptation of the Global Navigation Satellite Systems (GNSS) technology to fit the needs of farmers requires knowledge of the accuracy level delivered by a GNSS receiver in working conditions. To date, no methodology indicates the minim
Externí odkaz:
https://doaj.org/article/255f61d38d104b21b7728f13dd58087f
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 232 (2021)
Yield maps provide essential information to guide precision agriculture (PA) practices. Yet, on-board yield monitoring for sugarcane can be challenging. At the same time, orbital images have been widely used for indirect crop yield estimation for man
Externí odkaz:
https://doaj.org/article/9698eb40afcf43aeb5d21da643bf9a10
Autor:
Tatiana Fernanda Canata
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
A participação econômica da cana-de-açúcar (Saccharum spp.) é expressiva no agronegócio brasileiro, especialmente no estado de São Paulo. O monitoramento de produtividade para essa cultura é escasso de soluções consolidadas no nível de pe
Autor:
Tatiana Fernanda Canata, José Paulo Molin, Maurício Martello, Leonardo Felipe Maldaner, Jadir de Souza Moreira
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
The adoption of precision agriculture involves a demand for equipment and solutions to create an accurate diagnostic of the spatial variability to be managed at the field level. Sugarcane has faced some challenges due to the limited solutions adapted
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa919509d61baeaeaa31a3f8b1e2c827
https://doi.org/10.1007/s12355-021-01048-5
https://doi.org/10.1007/s12355-021-01048-5
Autor:
Lucas de Paula Corrêdo, José Paulo Molin, Leonardo Felipe Maldaner, Tatiana Fernanda Canata, Jeovano de Jesus Alves de Lima
Publikováno v:
Sugar Tech. 23:1-14
Sugarcane harvesters have a high level of embedded technology and the opportunity to expand applications to become an important high-density data collection machine. The acquired data, such as yield, losses, and quality, would provide valuable inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::327723d2ddee07a3eb52f0777ddca86a
https://doi.org/10.1007/s12355-020-00874-3
https://doi.org/10.1007/s12355-020-00874-3
Autor:
José Paulo Molin, Victor Hugo Sousa Bersani, João Pedro Pissolito, Leonardo Felipe Maldaner, Tatiana Fernanda Canata
Publikováno v:
Brazilian Journal of Development. 6:100266-100280
The vegetation index (VI) generated from orbital images are essential tools to identify the spatial variability of the crops. The objective of this study was to evaluate the spatial variability of sugarcane fields using imagery data. Also, to explore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31186bb5f1b83158a963979f68d5bf6f
https://doi.org/10.34117/bjdv6n12-500
https://doi.org/10.34117/bjdv6n12-500
Publikováno v:
Brazilian Journal of Development. 6:28511-28522
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fa672e4a4f0d7e14bede8fb4b36eb83
https://doi.org/10.34117/bjdv6n5-338
https://doi.org/10.34117/bjdv6n5-338
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Data-driven decisions can be performed based on crop yield values, essential information for precision agriculture practices. Technical solutions for yield mapping have been increasing for the sugarcane crop. However, the adoption of a yield monitor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7cd304fe47b980f4afdd3a8a29aaa83
