Can yield prediction be fully digitilized? A systematic review
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …
the deployment of satellites, drones, and ground-based sensors for yield prediction in …
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
Agricultural research is essential for increasing food production to meet the needs of a
rapidly growing human population. Collecting large quantities of agricultural data helps to …
rapidly growing human population. Collecting large quantities of agricultural data helps to …
[HTML][HTML] Field-level crop yield estimation with PRISMA and Sentinel-2
Satellite image data deliver consistent and frequent information for crop yield estimation
over large areas. Hyperspectral narrowbands are more sensitive spectrally to changes in …
over large areas. Hyperspectral narrowbands are more sensitive spectrally to changes in …
An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type map** using Sentinel-2 imagery
Accurate crop type map** is essential for crop growth monitoring and yield estimation.
Recently, various machine learning methods have been increasingly used for crop type …
Recently, various machine learning methods have been increasingly used for crop type …
Rice yield prediction and model interpretation based on satellite and climatic indicators using a transformer method
As the second largest rice producer, India contributes about 20% of the world's rice
production. Timely, accurate, and reliable rice yield prediction in India is crucial for global …
production. Timely, accurate, and reliable rice yield prediction in India is crucial for global …
A geographically weighted random forest approach to predict corn yield in the US corn belt
Crop yield prediction before the harvest is crucial for food security, grain trade, and policy
making. Previously, several machine learning methods have been applied to predict crop …
making. Previously, several machine learning methods have been applied to predict crop …
Spatiotemporal heterogeneity and driving mechanisms of water resources carrying capacity for sustainable development of Guangdong Province in China
X Wang, S Zhang, X Tang, C Gao - Journal of Cleaner Production, 2023 - Elsevier
Sustainable water resources utilization is of great significance for sustainable
socioeconomic development. Water resources carrying capacity (WRCC), as an important …
socioeconomic development. Water resources carrying capacity (WRCC), as an important …
[HTML][HTML] Deciphering the contributions of spectral and structural data to wheat yield estimation from proximal sensing
Accurate, efficient, and timely yield estimation is critical for crop variety breeding and
management optimization. However, the contributions of proximal sensing data …
management optimization. However, the contributions of proximal sensing data …
The relationship between wheat yield and sun-induced chlorophyll fluorescence from continuous measurements over the growing season
Rapid and accurate estimation of crop yield using remote sensing technology could be an
important tool for improved global food security. As an effective probe measuring …
important tool for improved global food security. As an effective probe measuring …
County-level corn yield prediction using supervised machine learning
The main objectives of this study are (1) to compare several machine learning models to
predict county-level corn yield in the study area and (2) to compare the feasibility of machine …
predict county-level corn yield in the study area and (2) to compare the feasibility of machine …