Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Cengiz Koparan"'
Publikováno v:
Advancements in Agricultural Development, Vol 5, Iss 4 (2024)
The purpose of this study was to determine selected Arkansas school-based agricultural education (SBAE) teachers’ perceptions of the importance, ability to teach, inservice needs, and barriers relative to incorporating precision agriculture (PA) in
Externí odkaz:
https://doaj.org/article/bc3591f9731346e784c50f1e20fc1e3d
Publikováno v:
Journal of Agriculture and Food Research, Vol 18, Iss , Pp 101331- (2024)
Traditional weed management often involves blanket herbicide spraying, resulting in substantial herbicide wastage, environmental concerns, and herbicide resistant issues. Smart spraying systems utilizing robotics and sensors technologies can minimize
Externí odkaz:
https://doaj.org/article/4ef11f36bbdd4cd9b4129b456c7e0f22
Publikováno v:
Artificial Intelligence in Agriculture, Vol 6, Iss , Pp 242-256 (2022)
Weed identification is fundamental toward developing a deep learning-based weed control system. Deep learning algorithms assist to build a weed detection model by using weed and crop images. The dynamic environmental conditions such as ambient lighti
Externí odkaz:
https://doaj.org/article/b951a164ede14f33a6936b8c1f6cbc1e
Publikováno v:
Journal of Agriculture and Food Research, Vol 9, Iss , Pp 100325- (2022)
Site-specific weed management in Precision Agriculture is becoming a popular topic among researchers and farmers. The objective of this study was to classify weeds and crop species using RGB image texture features with the comparison of the Support V
Externí odkaz:
https://doaj.org/article/ab52b1caebbb45d1a5915dd3a5331bbf
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4606 (2021)
The foundation of contemporary weed management practices in many parts of the world is glyphosate. However, dependency on the effectiveness of herbicide practices has led to overuse through continuous growth of crops resistant to a single mode of act
Externí odkaz:
https://doaj.org/article/c7280891f6b04d329b437f93ae96bd3f
Publikováno v:
Remote Sensing, Vol 13, Iss 6, p 1204 (2021)
The incorporation of advanced technologies into Unmanned Aerial Vehicles (UAVs) platforms have enabled many practical applications in Precision Agriculture (PA) over the past decade. These PA tools offer capabilities that increase agricultural produc
Externí odkaz:
https://doaj.org/article/e1f997bf3ae34cb6b6b833704520d59e
Publikováno v:
Drones, Vol 4, Iss 3, p 35 (2020)
Evaluation of thermal stratification and systematic monitoring of water temperature are required for lake management. Water temperature profiling requires temperature measurements through a water column to assess the level of thermal stratification w
Externí odkaz:
https://doaj.org/article/c1f9b4492759404c9f3d16d7baa976dc
Publikováno v:
Drones, Vol 4, Iss 1, p 5 (2020)
Water quality monitoring and predicting the changes in water characteristics require the collection of water samples in a timely manner. Water sample collection based on in situ measurable water quality indicators can increase the efficiency and prec
Externí odkaz:
https://doaj.org/article/abd4051456ad4670b967273a21242ecc
Publikováno v:
Water, Vol 11, Iss 3, p 604 (2019)
The objective of this research was to conduct in situ measurements of electrical conductivity (EC), pH, dissolved oxygen (DO), and temperature, and collect water samples simultaneously at different depths using an unmanned aerial vehicle (UAV). The U
Externí odkaz:
https://doaj.org/article/dd04b3032e72488e941db766f368173a
Publikováno v:
Water, Vol 10, Iss 3, p 264 (2018)
An unmanned aerial vehicle-assisted water quality measurement system (UAMS) was developed for in situ surface water quality measurement. A custom-built hexacopter was equipped with an open-source electronic sensors platform to measure the temperature
Externí odkaz:
https://doaj.org/article/3ece4cef97c14590ab0977ba19f5eb88