Crop mapping using supervised machine learning and deep learning: a systematic literature review

M Alami Machichi, E mansouri, Y Imani… - … Journal of Remote …, 2023 - Taylor & Francis
The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

[HTML][HTML] Advances in safe processing of sugarcane and bagasse for the generation of biofuels and bioactive compounds

AK Wani, F Rahayu, L Fauziah, C Suhara - Journal of Agriculture and Food …, 2023 - Elsevier
Sugarcane is a tall, stout, perennial grass with fibrous stalks rich in sucrose used for sugar
production. Sugarcane is widely used to produce sugar, ethanol, and other bioactive …

High-resolution distribution maps of single-season rice in China from 2017 to 2022

R Shen, B Pan, Q Peng, J Dong, X Chen… - Earth System …, 2023 - essd.copernicus.org
Paddy rice is the second-largest grain crop in China and plays an important role in ensuring
global food security. However, there is no high-resolution map of rice covering all of China …

[HTML][HTML] Mapping sugarcane globally at 10 m resolution using Global Ecosystem Dynamics Investigation (GEDI) and Sentinel-2

S Di Tommaso, S Wang, R Strey… - Earth System Science …, 2024 - essd.copernicus.org
Sugarcane is an important source of food, biofuel, and farmer income in many countries. At
the same time, sugarcane is implicated in many social and environmental challenges …

Research on automatic identification of coal mining subsidence area based on InSAR and time series classification

J Xu, C Yan, MW Boota, X Chen, Z Li, W Liu… - Journal of Cleaner …, 2024 - Elsevier
Large-scale mining of coal resources has caused surface subsidence, threatening the
ecological environment and surface safety and hindering the sustainable development of …

[HTML][HTML] Integrating actuator fault-tolerant control and deep-learning-based NDVI estimation for precision agriculture with a hexacopter UAV

G Ortiz-Torres, MA Zurita-Gil, JY Rumbo-Morales… - AgriEngineering, 2024 - mdpi.com
This paper presents an actuator fault-tolerant control (FTC) strategy for a hexacopter
unmanned aerial vehicle (UAV) designed specifically for precision agriculture applications …

CROPGRIDS: a global geo-referenced dataset of 173 crops

FHM Tang, TH Nguyen, G Conchedda, L Casse… - Scientific Data, 2024 - nature.com
CROPGRIDS is a comprehensive global geo-referenced dataset providing area information
for 173 crops for the year 2020, at a resolution of 0.05°(about 5.6 km at the equator). It …

Assessment of land suitability for sugarcane cultivation using TOPSIS and parametric methods in Southwestern Iran

A Azadi, SAS Jalali, MN Navidi - Eurasian Soil Science, 2023 - Springer
Parametric land suitability assessment (LSA) sometimes does not correspond to the reality
of the region due to low index values. Thus, new multi-criteria decision-analysis approaches …

Impacts of ground-level ozone on sugarcane production

AW Cheesman, F Brown, MN Farha, TM Rosan… - Science of The Total …, 2023 - Elsevier
Sugarcane is a vital commodity crop often grown in (sub) tropical regions which have been
experiencing a recent deterioration in air quality. Unlike for other commodity crops, the risk …

[HTML][HTML] Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm

Y Fu, R Shen, C Song, J Dong, W Han, T Ye… - Science of Remote …, 2023 - Elsevier
Abstract Machine learning algorithms are a frequently used crop classification method and
have been applied to identify the distribution of various crops over regional and national …