Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Joseph K. Mhango"'
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4371 (2021)
Satellite Image Time Series (SITS) have been used to build models for predicting Potato (Solanum tuberosum L.) yields at regional scales, but evidence of extension of such models to local field scale for practical use in precision agriculture is lack
Externí odkaz:
https://doaj.org/article/687190729bd74d2abf9a64a9e73efd1b
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2705 (2021)
In potato (Solanum tuberosum) production, the number of tubers harvested and their sizes are related to the plant population. Field maps of the spatial variation in plant density can therefore provide a decision support tool for spatially variable ha
Externí odkaz:
https://doaj.org/article/205a46ede6674d548c461efd928bbd67
Publikováno v:
Precision Agriculture. 23:643-669
Potato (Solanum tuberosum) stem density variation in the field can be used to inform harvest timing to improve tuber size distribution. Current methods for quantifying stem density are manual with low throughput. This study examined the use of Unmann