Multi-sensors remote sensing applications for assessing, monitoring, and mapping NPK content in soil and crops in African agricultural land

K Misbah, A Laamrani, K Khechba, D Dhiba… - Remote Sensing, 2021 - mdpi.com
Demand for agricultural products is increasing as population continues to grow in Africa. To
attain a higher crop yield while preserving the environment, appropriate management of …

Portable sensors in precision agriculture: Assessing advances and challenges in soil nutrient determination

A Pal, SK Dubey, S Goel, PK Kalita - TrAC Trends in Analytical Chemistry, 2024 - Elsevier
Soil assessments are crucial for data-driven soil management and precision agriculture to
promote smart soil management practices and address related environmental pollution …

Use of remote sensing to characterize the phenological development and to predict sweet potato yield in two growing seasons

D Tedesco, MF de Oliveira, AF dos Santos… - European Journal of …, 2021 - Elsevier
Sweet potato is a tuberous root with versatility in food products, but also with applications in
the energy industry, such as in ethanol production. Developing mechanisms to assess the …

Low complexity and low memory compression algorithm for hyperspectral image sensors

S Bajpai - Wireless Personal Communications, 2023 - Springer
The 3D-zero memory set partitioned embedded block (3D-ZM-SPECK) is an embedded and
memory-efficient compression algorithm. Through, the 3D-ZM-SPECK does not require any …

Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm

Y Shi, J Zhao, X Song, Z Qin, L Wu, H Wang, J Tang - PloS one, 2021 - journals.plos.org
Effective soil spectral band selection and modeling methods can improve modeling
accuracy. To establish a hyperspectral prediction model of soil organic matter (SOM) …

Predicting the Surface Soil Texture of Cultivated Land via Hyperspectral Remote Sensing and Machine Learning: A Case Study in Jianghuai Hilly Area

B Pan, S Cai, M Zhao, H Cheng, H Yu, S Du, J Du… - Applied Sciences, 2023 - mdpi.com
Soil reflectance spectra and hyperspectral images have great potential to monitor and
evaluate soil texture in large-scale scenarios. In hilly areas, sand, clay, and silt have similar …

Deep-learning-based approach for estimation of fractional abundance of nitrogen in soil from hyperspectral data

AK Patel, JK Ghosh, S Pande… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
One of the vital growth nutrient parameters of crops is soil Nitrogen (N) content. The ability to
accurately grasp soil nutrient information is a prerequisite for scientific fertilization within the …

Application of a hyperspectral remote sensing model for the inversion of nickel content in urban soil

Q Zhong, M Eziz, R Sawut, M Ainiwaer, H Li, L Wang - Sustainability, 2023 - mdpi.com
Hyperspectral remote sensing technology can provide a rapid and nondestructive method
for soil nickel (Ni) content detection. In order to select a high-effective method for estimating …

Soil textures and nutrients estimation using remote sensing data in north india-Punjab region

G Dhiman, J Bhattacharya, S Roy - Procedia computer science, 2023 - Elsevier
Estimating soil and plant nutrients are essential for crop growth and yield production.
Quantifying nutrients by conventional methods is a time-consuming and hectic process. The …

Development of total suspended matter prediction in waters using fractional-order derivative spectra

X Wang, K Song, G Liu, Z Wen, Y Shang… - Journal of Environmental …, 2022 - Elsevier
More and more hyper-spectral satellites will be used to estimate total suspended matter
(TSM) in waters instead of multi-spectral satellites, such as China's Gaofen-5 and Zhuhai-1 …