Finally, we identified green-up dates of those sugarcane fields in 2019, which could be used to support the sugarcane planting and management activities. Our study demonstrates the potential of the pixel- and phenology-based sugarcane mapping tool (both the algorithms and the LC/S2/S1 time ...
The sugarcane is one of the most important crops in Brazil, the world鈥瞫 largest sugar producer and the second largest ethanol producer. The presence of weeds in the sugarcane plantation can cause losses up to 90% of the production, caused by the competition for light, water and nutrients,...
Semantic segmentation has been widely used in precision agriculture, such as weed detection, which is pivotal to increasing crop yields. Various well-established and swiftly evolved AI models have been developed of late for semantic segmentation in weed detection; nevertheless, there is insufficient inf...
sugarcane; aboveground fresh weight; LiDAR; multispectral images; individual tree crowns; partial least-squares regression; multiple linear regression1. Introduction Sugarcane (Saccharum spp.) is one of the largest broadacre crops in the world. It is grown in 106 countries across the tropics and ...
Therefore, this work aims to map the LULC in the state of São Paulo using the Landsat-8 Operational Land Imager (OLI) images acquired mainly during the year 2020, based on the classification of individual LULC classes: forest, forest plantation, pasture, agriculture, urban areas, and water...
Many studies have shown that near-ground imaging spectrometers are promising for assessing the nitrogen content of such crops as wheat [14], sugarcane [15], beet [16], and rice [17,18]. To estimate the nitrogen content of crops based on near-ground hyperspectral systems, previous studies ...