Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Map** smallholder cashew plantations to inform sustainable tree crop expansion in Benin
Cashews are grown by over 3 million smallholder farmers in> 40 countries worldwide as a
principal source of income. Expanding the area of cashew plantations and increasing …
principal source of income. Expanding the area of cashew plantations and increasing …
Machine Learning-Based Rice Field Map** in Kulon Progo using a Fusion of Multispectral and SAR Imageries
The land-conversion of rice fields can reduce rice production and negatively impact food
security. Consequently, monitoring is essential to prevent the loss of productive agricultural …
security. Consequently, monitoring is essential to prevent the loss of productive agricultural …
New generation hyperspectral data from DESIS compared to high spatial resolution PlanetScope data for crop type classification
Thoroughly investigating the characteristics of new generation hyperspectral and high
spatial resolution spaceborne sensors will advance the study of agricultural crops …
spatial resolution spaceborne sensors will advance the study of agricultural crops …
Comparison of PlanetScope, Sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression
Accurate timely and early-season crop yield estimation within the field variability is important
for precision farming and sustainable management applications. Therefore, the ability to …
for precision farming and sustainable management applications. Therefore, the ability to …
Map** agricultural Intensification in the Brazilian Savanna: a machine learning approach using harmonized data from Landsat Sentinel-2
Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado),
mainly in the transition between Cerrado and the Amazon Forest, to increase productivity …
mainly in the transition between Cerrado and the Amazon Forest, to increase productivity …
[HTML][HTML] A comparative analysis of PlanetScope 4-band and 8-band imageries for land use land cover classification
Earth-observing satellites have become essential in comprehending human impacts on the
landscape. Satellite-based imagery is indispensable for map** Earth's features, managing …
landscape. Satellite-based imagery is indispensable for map** Earth's features, managing …
[HTML][HTML] Comparative Analysis of XGB, CNN, and ResNet Models for Predicting Moisture Content in Porphyra yezoensis Using Near-Infrared Spectroscopy
W Zhang, M Pan, P Wang, J Xue, X Zhou, W Sun, Y Hu… - Foods, 2024 - mdpi.com
This study explored the performance and reliability of three predictive models—extreme
gradient boosting (XGB), convolutional neural network (CNN), and residual neural network …
gradient boosting (XGB), convolutional neural network (CNN), and residual neural network …
Assessment of Deep Learning Based Image Segmentation for Identifying Floating Net Cages from Very High-Resolution Capella Synthetic Aperture Radar (SAR) Data
The availability of a constellation remote sensing satellite system using very high resolution
(VHR) synthetic aperture radar (SAR) is beneficial to obtain information from the earth …
(VHR) synthetic aperture radar (SAR) is beneficial to obtain information from the earth …
Crop Yield Prediction Using Machine Learning, Multi-Source Remote Sensing Technologies and Data Fusion: A Case Study of Mezőhegyes Hungary
A Khilola - 2024 - search.proquest.com
The dissertation titled" Crop yield prediction using machine learning, multi-source Remote
Sensing technologies and data fusion: a case study of Mezőhegyes Hungary" focuses on …
Sensing technologies and data fusion: a case study of Mezőhegyes Hungary" focuses on …
Family Planning, Irrigation, and Agricultural Cooperatives for Sustainable Food Security in Kenya
Rapid population growth causes smallholders to practice unsustainable forms of land
intensification to meet increasing food demand. Food insecurity is exacerbated by unreliable …
intensification to meet increasing food demand. Food insecurity is exacerbated by unreliable …