4 documents found, page 1 of 1
Evaluation of a deep learning approach for predicting the fraction of transpira...
Alibabaei, Khadijeh; Gaspar, Pedro D.; Campos, Rebeca M.; Rodrigues, Gonçalo C.; Lopes, Carlos M.As agriculture has an increasing impact on the environment, new techniques can help meet future food needs while maintaining or reducing the environmental footprint. Those techniques must incorporate a range of sensing, communication, and data analysis technologies to make informed management decisions, such as those related to the use of water, fertilizer, pesticides, seeds, fuel, labor, etc., to help increase...
A review of the challenges of using deep learning algorithms to support decisio...
Alibabaei, Khadijeh; Gaspar, Pedro D.; Lima, Tânia M.; Campos, Rebeca M.; Girão, Inês; Monteiro, Jorge; Lopes, Carlos M.Deep Learning has been successfully applied to image recognition, speech recognition, and natural language processing in recent years. Therefore, there has been an incentive to apply it in other fields as well. The field of agriculture is one of the most important fields in which the application of deep learning still needs to be explored, as it has a direct impact on human well-being. In particular, there is a...
A Review of the Challenges of Using Deep Learning Algorithms to Support Decisio...
Alibabaei, Khadijeh; Gaspar, Pedro D.; Lima, Tânia M.; Campos, Rebeca M.; Girão, Inês; Monteiro, Jorge; Lopes, C.M.Deep Learning has been successfully applied to image recognition, speech recognition, and natural language processing in recent years. Therefore, there has been an incentive to apply it in other fields as well. The field of agriculture is one of the most important fields in which the application of deep learning still needs to be explored, as it has a direct impact on human well-being. In particular, there is a...
Efficient assessment of nocturnal flying insect communities by combining automa...
Mata, Vanessa A.; Ferreira, Sónia; Campos, Rebeca M.; Silva, Luís P.; Veríssimo, Joana; Corley, Martin F.V.; Beja, PedroIncreasing evidence for global insect declines is prompting a renewed interest in the survey of whole insect communities. DNA metabarcoding can contribute to assessing diverse insect communities over a range of spatial and temporal scales, but efforts are still needed to optimize and standardize procedures. Here, we describe and test a methodological pipeline for surveying nocturnal flying insects, combining au...