Land change science co-evolves with remote sensing technology. The world has witnessed
an exponential growth in Earth observation satellites since 1972, and concurrently, land …

Brazil supplies half of the world's exported soybeans. Forecasting its national soybean yield
before harvest could help mitigate disruptions in food supply. The objective of this study is to …

There are great challenges for the accurate prediction of wheat yield at large-scale region
due to the spatial heterogeneity of soil, management and meteorological conditions. The …

To obtain seasonable and precise crop yield information with fine resolution is very
important for ensuring the food security. However, the quantity and quality of available …

The timely and robust prediction of wheat yield is very significant for grain trade and food
security. In this study, the yield prediction model was developed by coupling an ensemble …

The new type of multi-temporal global land use data with multiple classes is able to provide
information on both the different land covers and their temporal changes; furthermore, it is …

Accurate extraction of soybean planting areas is inherently challenging owing to the close
similarity in growth stage and spectral characteristics with maize, particularly during the early …

[目的/意义] 油料作物是粮食供应和非粮食供应的重要组成部分, 也是食用植物油和植物蛋白的
重要来源. 实时, 动态, 大范围的油料作物生长监测对指导农业生产, 维持粮油市场稳定 …

[Significance] Oil crops play a significant role in the food supply, as well as the important
source of edible vegetable oils and plant proteins. Real-time, dynamic and large-scale …

Gelecek vadeden bir sektör olarak dijital tarım ve teknolojiler; verimliliği ve üretkenliği
iyileştirmeye, biyolojik çeşitliliğin ve toprağın korunmasına, gıda güvenliğinin …