Events1st International Online Conference on Agriculture - Advances in Agricultural Science and Technology
Published
This submission belongs to the session 10. Smart Farming: From Sensor to Artificial Intelligence of the event 1st International Online Conference on Agriculture - Advances in Agricultural Science and Technology
Published date
26 Jan, 2022
Academic Editor
author-avatarFrancesco Marinello
Citation
Ana Coelho Marques, Inês Carmo Carmo Luís, Ana Rita F. Coelho, Cláudia Campos Pessoa, Diana Daccak, Manuela Simões, Ana Sofia Almeida, Paula Scotti Campos, José C. Ramalho, José Manuel N. Semedo, Carlos Kullberg, Maria Graça Brito, Maria F. Pessoa, Fernando H. Reboredo, Paula Marques, Maria Manuela Silva, Paulo Legoinha, Karliana Oliveira, Isabel P. Pais, Fernando C. Lidon, Monitorization through precision agriculture of a rice (Oryza sativa L.) culture production in Ribatejo region, in Proceedings of 1st International Online Conference on Agriculture - Advances in Agricultural Science and Technology, 10 February–25 February 2022, MDPI: Basel, Switzerland, doi: 10.3390/IOCAG2022-12170
Share
Email
Facebook
Twitter
LinkedIn

Monitorization through precision agriculture of a rice (Oryza sativa L.) culture production in Ribatejo region

image
image
Cláudia Campos Pessoa 2,3
image
image
image
image
image
image
Paula Marques 7
image
image
image
image
1. Earth Sciences Department, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal, Portugal
2. GeoBioTec Research Center, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
3. Earth Sciences Department, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
4. INIAV, Instituto Nacional de Investigação Agrária e Veterinária, Elvas, Portugal
5. INIAV, Instituto Nacional de Investigação Agrária e Veterinária, Oeiras, Portugal
6. PlantStress & Biodiversity Lab, Centro de Estudos Florestais, Instituto Superior Agronomia, Universidade de Lisboa, Oeiras, Portugal
7. COTArroz, Centro Operativo e Tecnológico do Arroz, Salvaterra de Magos, Portugal
8. ESEAG, Escola Superior de Educação Almeida Garrett, Lisboa, Portugal
Abstract

Remote sensed data has already an important role in crop management. In fact, NDVI (normalized difference vegetation index) has been use for staple crop management and monitorization since 80’s, namely in rice, wheat and maize. Accordingly, this study aimed to monitor, through precision agriculture, the development of a highly produced and consumed rice genotype in Portugal (Ariete variety), submitted to a selenium biofortification workflow. Rice biofortification was promoted during the production cycle, and assessed after two foliar applications with selenium (sprayed with 50 and 100 g Se.ha-1 of sodium selenite). In this context, NDVI showed a high and identical value between control and biofortified plants, which indicated that the culture displayed a higher vigor and was in a healthy state of development despite foliar applications. Analyzes were further carried out for monitor the mobilization of photoassimilates, showing that plants did not demonstrate any negative impact on net photosynthesis and there was even a slight rise in 50 g.ha-1 Na2SeO3 treatment. Additionally, to characterize the soil of the paddy rice field, some parameters were also analyzed, namely, organic matter, humidity, pH and electrical conductivity, being found that the parameters ranged between from 1.085 - 1.575 %, 12.05 - 17.45 %, 5.70 – 6.20, respectively while the average conductivity was 223.4 S µcm-1. Concerning to soil color, and considering the parameters L, a* and b* of the CieLab scale, significantly higher values in samples without humidity and without humidity and organic matter were found. In spite of the differences found, it is concluded that biofortification process did not affect any physiological parameters in rice plants.

Keywords
NDVI
Precision Agriculture
Rice
Selenium biofortification
Manuscript
Oral Presentation
Poster
Marques et al Presentation.pdf
FOOD SUPPLY CHAIN TRACEABILITY: A multiple case study from Alto Tietê Region, Brazil