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Computer vision and artificial intelligence in precision agriculture for grain crops: a systematic review. Repository: BDPA Publication year: 2018
A review on the use of computer vision and artificial intelligence for fish recognition, monitoring, and management. Abstract: Computer vision has been applied to fish recognition for at least three decades. With the inception of deep learning techniques in the early 2010s, the use of digital images grew strongly, a... ... Repository: BDPA Publication year: 2022
Combination of remote sensing and artificial intelligence in fruit growing: progress, challenges, and potential applications. Fruit growing is important in the global agricultural economy, contributing significantly to food security, job creation, and rural development. With the advancement of technologies, mapping fruits us... ... Repository: BDPA Publication year: 2024
Mapping key indicators of forest restoration in the Amazon using a low-cost drone and artificial intelligence. Repository: BDPA Publication year: 2022
Digital agriculture: definitions and technologies. Introduction. Digital technologies. Organization, representation, and information access. Mathematical modelling and statistics. Artificial intelligence. Earth and study sensors. Converging technologi... ... Repository: BDPA Publication year: 2023
Do laboratório ao data center: reconfigurando a atividade científica por meio da inteligência artificial. RESUMO - O objetivo deste estudo foi examinar o papel da inteligência artificial (IA) na reconfiguração da atividade da pesquisa científica e tecnológica. A IA tem desempenhado um papel crescente na p... ... Repository: BDPA Publication year: 2024
Predicting coffee water potential from spectral reflectance indices with neural networks. Leaf water potential is one of the main parameters used to assess water relations in plants by revealing levels of tissue hydration. It is commonly measured with the Scholander pressure chamber; which... ... Repository: BDPA Publication year: 2023
Using brainwave patterns recorded from plant pathology experts to increase the reliability of ai-based plant disease recognition system. This study investigates how the use of electroencephalograms from plant pathology experts can improve the accuracy and robustness of image-based artificial intelligence models dedicated to plant disea... ... Repository: BDPA Publication year: 2023
Artificial neural networks applied in forest biometrics and modeling: state of the art (January/2007 to July/2018). Artificial Intelligence has been an important support tool in different spheres of activity, enabling knowledge aggregation, process optimization and the application of methodologies capable of solvin... ... Repository: BDPA Publication year: 2019
Intelligent genomic information retrieval with distributed system resources. Repository: BDPA Publication year: 2013

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