Zobrazeno 1 - 10
of 57
pro vyhledávání: '"plant diseases and pests"'
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4590 (2024)
Due to the significant threat to forest health posed by beetle infestations on pine trees, timely and accurate predictions are crucial for effective forest management. This study developed a pine tree stress probability prediction workflow based on m
Externí odkaz:
https://doaj.org/article/bd386a62d5b34d67adaa5b1ab1c320ca
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Plant diseases and pests have always been major contributors to losses that occur in agriculture. Currently, the use of deep learning-based convolutional neural network models allows for the accurate identification of different types of plant disease
Externí odkaz:
https://doaj.org/article/cb890121555943598bc9abff519e6353
Autor:
Lucas M. Tassis, Renato A. Krohling
Publikováno v:
Artificial Intelligence in Agriculture, Vol 6, Iss , Pp 55-67 (2022)
In the last few years, deep neural networks have achieved promising results in several fields. However, one of the main limitations of these methods is the need for large-scale datasets to properly generalize. Few-shot learning methods emerged as an
Externí odkaz:
https://doaj.org/article/70bd7fcc13d846788b26fe20ab13b4ea
Autor:
O. N. Zubareva, D. A. Prysov
Publikováno v:
Сибирский лесной журнал, Vol 8, Iss 6, Pp 46-58 (2021)
Urban environment contains a broad variety of factors and this is where all living organisms are exposed to heavy stresses. Green plant serve as a natural «air filters» and are among the first to respond to negative changes of growth conditions. Cr
Externí odkaz:
https://doaj.org/article/dcfd2ed30e4b447db853e328ccf61f81
Akademický článek
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Publikováno v:
Applied Sciences, Vol 13, Iss 8, p 4720 (2023)
Plant diseases and pests significantly influence food production and the productivity and economic profitability of agricultural crops. This has led to great interest in developing technological solutions to enable timely and accurate detection. This
Externí odkaz:
https://doaj.org/article/19cf5ab49dc74e90a25d78a79fc73402
Autor:
Jun Liu, Xuewei Wang
Publikováno v:
Plant Methods, Vol 17, Iss 1, Pp 1-18 (2021)
Abstract Plant diseases and pests are important factors determining the yield and quality of plants. Plant diseases and pests identification can be carried out by means of digital image processing. In recent years, deep learning has made breakthrough
Externí odkaz:
https://doaj.org/article/6b70e395af7b4d5d8cae53ffaa89842c
Publikováno v:
Agriculture, Vol 12, Iss 9, p 1350 (2022)
Considering the population growth rate of recent years, a doubling of the current worldwide crop productivity is expected to be needed by 2050. Pests and diseases are a major obstacle to achieving this productivity outcome. Therefore, it is very impo
Externí odkaz:
https://doaj.org/article/97174ebec4e34e01b427fed5f5ec8b1f