Zobrazeno 1 - 10
of 63
pro vyhledávání: '"James Brinkhoff"'
Autor:
Benjamin Adjah Torgbor, Priyakant Sinha, Muhammad Moshiur Rahman, Andrew Robson, James Brinkhoff, Luz Angelica Suarez
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4170 (2024)
Tree- and block-level prediction of mango yield is important for farm operations, but current manual methods are inefficient. Previous research has identified the accuracies of mango yield forecasting using very-high-resolution (VHR) satellite imager
Externí odkaz:
https://doaj.org/article/4d7acba623554ee798787be79148c48f
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103434- (2023)
This study presents a comprehensive evaluation of seasonal, locational, and varietal variations in canopy reflectance responses in 315 commercial citrus blocks from three major growing regions in Australia. The dataset includes three different citrus
Externí odkaz:
https://doaj.org/article/f53962dcb37b4abaa31845804a4f3174
Autor:
Benjamin Adjah Torgbor, Muhammad Moshiur Rahman, James Brinkhoff, Priyakant Sinha, Andrew Robson
Publikováno v:
Remote Sensing, Vol 15, Iss 12, p 3075 (2023)
Accurate pre-harvest yield forecasting of mango is essential to the industry as it supports better decision making around harvesting logistics and forward selling, thus optimizing productivity and reducing food waste. Current methods for yield foreca
Externí odkaz:
https://doaj.org/article/4a9b28c742b740c8a86fa7e36ec25914
Publikováno v:
Ecosphere, Vol 13, Iss 1, Pp n/a-n/a (2022)
Abstract Understanding broad trends in the distribution and composition of wetlands is essential for making evidence‐based management decisions. Determining temporal change in the extent of inundation in wetlands using remote sensing remains challe
Externí odkaz:
https://doaj.org/article/6da9cf1c77b1400da8f940e89a9e7917
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 105, Iss , Pp 102627- (2021)
Determining the mid-season nitrogen status of rice is important for precision application of fertilizer to optimize productivity. While there has been much research aimed at developing remote-sensing-based models to predict the nitrogen status of ric
Externí odkaz:
https://doaj.org/article/4ea73651e3eb4580bcc2fb1e3eff5af9
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 5942 (2022)
The ability to accurately and systematically monitor avocado crop phenology offers significant benefits for the optimization of farm management activities, improvement of crop productivity, yield estimation, and evaluation crops’ resilience to extr
Externí odkaz:
https://doaj.org/article/a93151f0c9cb413eb3677637c0ee2342
Publikováno v:
Horticulturae, Vol 8, Iss 1, p 11 (2021)
In 2020, mango (Mangifera indica) exports contributed over 40 million tons, worth around US$20 billion, to the global economy. Only 10% of this contribution was made from African countries including Ghana, largely due to lower investment in the secto
Externí odkaz:
https://doaj.org/article/633e572a8a354a708a4ec827de2aea9f
Autor:
James Brinkhoff, Andrew J. Robson
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2245 (2020)
Accurate estimates of tree crop orchard age and historical crop area are important to develop yield prediction algorithms, and facilitate improving accuracy in ongoing crop forecasts. This is particularly relevant for the increasingly productive maca
Externí odkaz:
https://doaj.org/article/48f4320071254abc824aee9a23850842
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 96 (2019)
Land cover mapping of intensive cropping areas facilitates an enhanced regional response to biosecurity threats and to natural disasters such as drought and flooding. Such maps also provide information for natural resource planning and analysis of th
Externí odkaz:
https://doaj.org/article/06af31fc40fd4ab6b19cac8fe997758b
Publikováno v:
Remote Sensing, Vol 11, Iss 15, p 1837 (2019)
Mid-season nitrogen (N) application in rice crops can maximize yield and profitability. This requires accurate and efficient methods of determining rice N uptake in order to prescribe optimal N amounts for topdressing. This study aims to determine th
Externí odkaz:
https://doaj.org/article/c53cbb9bc1e943cea70f78713040c2b8