Review of synthetic aperture radar with deep learning in agricultural applications
Abstract Synthetic Aperture Radar (SAR) observations, valued for their consistent acquisition
schedule and not being affected by cloud cover and variations between day and night, have …
schedule and not being affected by cloud cover and variations between day and night, have …
Estimation of sugar content in wine grapes via in situ VNIR–SWIR point spectroscopy using explainable artificial intelligence techniques
Spectroscopy is a widely used technique that can contribute to food quality assessment in a
simple and inexpensive way. Especially in grape production, the visible and near infrared …
simple and inexpensive way. Especially in grape production, the visible and near infrared …
Improved prediction of rice yield at field and county levels by synergistic use of SAR, optical and meteorological data
Timely and accurate rice yield prediction over large regions is imperative to making informed
decisions on precision crop management and ensuring regional food security. Previous …
decisions on precision crop management and ensuring regional food security. Previous …
[HTML][HTML] Multispectral satellite image analysis for computing vegetation indices by R in the Khartoum Region of Sudan, Northeast Africa
Desertification is one of the most destructive climate-related issues in the Sudan–Sahel
region of Africa. As the assessment of desertification is possible by satellite image analysis …
region of Africa. As the assessment of desertification is possible by satellite image analysis …
[HTML][HTML] Combination of Remote Sensing and Artificial Intelligence in Fruit Growing: Progress, Challenges, and Potential Applications
Fruit growing is important in the global agricultural economy, contributing significantly to
food security, job creation, and rural development. With the advancement of technologies …
food security, job creation, and rural development. With the advancement of technologies …
Optimal integration of optical and SAR data for improving alfalfa yield and quality traits prediction: new insights into satellite-based forage crop monitoring
Global food security and nutrition is suffering from unprecedented challenges. To reach a
world without hunger and malnutrition by implementing precision agriculture, satellite …
world without hunger and malnutrition by implementing precision agriculture, satellite …
The response of yield, number of clusters, and cluster weight to meteorological factors and irrigation practices in grapevines: A multi-experiment study
Abstract Knowledge of the yield components of wine grapevines is essential to achieve
target production and effectively design vineyard management. Therefore, it is necessary to …
target production and effectively design vineyard management. Therefore, it is necessary to …
[HTML][HTML] Oilseed Rape Yield Prediction from UAVs Using Vegetation Index and Machine Learning: A Case Study in East China
H Hu, Y Ren, H Zhou, W Lou, P Hao, B Lin, G Zhang… - Agriculture, 2024 - mdpi.com
Yield prediction is an important agriculture management for crop policy making. In recent
years, unmanned aerial vehicles (UAVs) and spectral sensor technology have been widely …
years, unmanned aerial vehicles (UAVs) and spectral sensor technology have been widely …
Toward understanding land use land cover changes and their effects on land surface temperature in yam production area, Côte d'Ivoire, Gontougo Region, using …
Land use and land cover (LULC) changes are one of the main factors contributing to
ecosystem degradation and global climate change. This study used the Gontougo Region …
ecosystem degradation and global climate change. This study used the Gontougo Region …
Multispectral indices for wildfire management
This paper highlights and summarizes the most important multispectral indices and
associated methodologies for fire management. Various fields of study are examined where …
associated methodologies for fire management. Various fields of study are examined where …