Map** smallholder cashew plantations to inform sustainable tree crop expansion in Benin

L Yin, R Ghosh, C Lin, D Hale, C Weigl… - Remote Sensing of …, 2023 - Elsevier
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 …

Machine Learning-Based Rice Field Map** in Kulon Progo using a Fusion of Multispectral and SAR Imageries

Y Khoirurrizqi, R Sasongko, NLE Utami, A Irbah… - Forum …, 2023 - journals.ums.ac.id
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 …

New generation hyperspectral data from DESIS compared to high spatial resolution PlanetScope data for crop type classification

I Aneece, D Foley, P Thenkabail… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Thoroughly investigating the characteristics of new generation hyperspectral and high
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

K Amankulova, N Farmonov, P Akramova, I Tursunov… - Heliyon, 2023 - cell.com
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 …

Map** agricultural Intensification in the Brazilian Savanna: a machine learning approach using harmonized data from Landsat Sentinel-2

ÉL Bolfe, TC Parreiras, LAP Silva, EE Sano… - … International Journal of …, 2023 - mdpi.com
Agricultural intensification practices have been adopted in the Brazilian savanna (Cerrado),
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

S Basheer, X Wang, RA Nawaz, T Pang, T Adekanmbi… - Geomatica, 2024 - Elsevier
Earth-observing satellites have become essential in comprehending human impacts on the
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 …

Assessment of Deep Learning Based Image Segmentation for Identifying Floating Net Cages from Very High-Resolution Capella Synthetic Aperture Radar (SAR) Data

S Arjasakusuma, SS Kusuma - Journal of the Indian Society of Remote …, 2025 - Springer
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 …

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 …

Family Planning, Irrigation, and Agricultural Cooperatives for Sustainable Food Security in Kenya

RA Ingutia, J Sumelius - Sustainable Agriculture Research, 2024 - researchportal.helsinki.fi
Rapid population growth causes smallholders to practice unsustainable forms of land
intensification to meet increasing food demand. Food insecurity is exacerbated by unreliable …