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A Model Based Intelligent Sensor to Control Sprinklers in Spray Actions. Author(s): SCHUTZ, D. R.; PENALOZA, E. A. G.; MERCALDI, H. V.; OLIVEIRA, V. A.; CRUVINEL, P. E. —Application of pesticides in crops is used to achieve food production. The use of technologies has become possible to decrease not only the biological risk but also the ecological and human ones that... ... Repository: BDPA Publication year: 2023
From detection to protection: the role of optical sensors, robots,and arti?cial intelligence in modern plant disease management. Author(s): MAHLEIN, A. K.; BARBEDO, J. G. A.; CHIANG, K. S.; DEL PONTE, E. M.; BOCK, C. H. In the past decade, there has been a recognized need for innovative methods to monitor and manage plant diseases, aiming to meet the precision demandsof modern agriculture. Over the last 15 years, sig... ... Repository: BDPA Publication year: 2024
Development of an Optoelectronic Sensor for Detecting and Classifying Fruit Fly (Diptera:,Tephritidae) for Use in Real-Time Intelligent Traps. Author(s): MORAES, F. S.; NAVA, D. E.; SCHUNEMANN, T.; ROSA, V. S. da Repository: BDPA Publication year: 2019
Optoacoustic intelligent sensor for real-time detection of fruit flies in McPhail traps. Author(s): MORAES, F. S.; NAVA, D. E.; ROSA, V. S. da Repository: BDPA Publication year: 2018
Advances in sensors and X-ray spectroscopy for agricultural soil analysis. Author(s): CRUVINEL, P. E. This paper presents a study regarding sensors development and the use for X-ray spectroscopy. In fact, we include not only a novel discussion on sensors since the X-rays discovery, but we also present... ... Repository: BDPA Publication year: 2022
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy. Author(s): BOCK, C. H.; BARBEDO, J. G. A.; DEL PONTE, E. M.; BOHNENKAMP, D.; MAHLEIN, A. K. Abstract. The severity of plant diseases, traditionally the proportion of the plant tissue exhibiting symptoms, is a key quantitative variable to know for many diseases and is prone to error. Good qua... ... Repository: BDPA Publication year: 2020
Data fusion in agriculture: resolving ambiguities and closing data gaps. Author(s): BARBEDO, J. G. A. Abstract. Acquiring useful data from agricultural areas has always been somewhat of a challenge, as these are often expansive, remote, and vulnerable to weather events. Despite these challenges, as te... ... Repository: BDPA Publication year: 2022
Medição do crescimento do diâmetro de tronco utilizando sensor de movimento e posição. Author(s): MAZZARO, R. V.; REISSER JUNIOR, C.; ROMANO, L. R.; TIMM, L. C. Repository: BDPA Publication year: 2016
Sistema sensor para detecção de cianobactérias e toxinas relacionadas em amostras líquidas. Author(s): BERTUCCI NETO, V.; CONSOLIN FILHO, N.; FERREIRA, E. J.; VIERA, A. A. H.; MATTOSO, L. H. C. Repository: BDPA Publication year: 2007
Soil and satellite remote sensing variables importance using machine learning to predict cotton yield. Author(s): CARNEIRO, F. M.; BRITO FILHO, A. L. de; FERREIRA, F. M.; SEBEN JUNIOR, G. de F.; BRANDÃO, Z. N.; SILVA, R. P. da; SHIRATSUCHI, L. S. Remote sensing (RS) in agriculture has been widely used for mapping soil, plant, and atmosphere attributes, as well as helping in the sustainable production of the crop by providing the possibility of... ... Repository: BDPA Publication year: 2023

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