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[HTML][HTML] Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
[HTML][HTML] Satellite-enabled enviromics to enhance crop improvement
Enviromics refers to the characterization of micro-and macroenvironments based on large-
scale environmental datasets. By providing genotypic recommendations with predictive …
scale environmental datasets. By providing genotypic recommendations with predictive …
Soil organic carbon prediction using phenological parameters and remote sensing variables generated from Sentinel-2 images
It is important to predict the spatial distribution of SOC accurately for migrating carbon
emission and sustainable soil management. Environmental variables influence the accuracy …
emission and sustainable soil management. Environmental variables influence the accuracy …
Applicability of machine learning techniques in predicting wheat yield based on remote sensing and climate data in Pakistan, South Asia
Abstract Machine learning (ML) algorithms perform better than classical statistical
approaches to explore hidden nonlinear relationships. In this context, the goal of this …
approaches to explore hidden nonlinear relationships. In this context, the goal of this …
Early identification of crop type for smallholder farming systems using deep learning on time-series sentinel-2 imagery
Climate change and the COVID-19 pandemic have disrupted the food supply chain across
the globe and adversely affected food security. Early estimation of staple crops can assist …
the globe and adversely affected food security. Early estimation of staple crops can assist …
Agricultural land suitability assessment using satellite remote sensing-derived soil-vegetation indices
Satellite remote sensing technologies have a high potential in applications for evaluating
land conditions and can facilitate optimized planning for agricultural sectors. However …
land conditions and can facilitate optimized planning for agricultural sectors. However …
Estimation of soil organic carbon content in the Ebinur Lake wetland, **njiang, China, based on multisource remote sensing data and ensemble learning algorithms
Soil organic carbon (SOC), as the largest carbon pool on the land surface, plays an
important role in soil quality, ecological security and the global carbon cycle. Multisource …
important role in soil quality, ecological security and the global carbon cycle. Multisource …
Soil water content and actual evapotranspiration predictions using regression algorithms and remote sensing data
The application of technology and the development of data analysis, such as remote
sensing and regression algorithms, are an easy and inexpensive way to estimate …
sensing and regression algorithms, are an easy and inexpensive way to estimate …
[HTML][HTML] Estimation of Winter Wheat Yield using multiple temporal vegetation indices derived from UAV-Based multispectral and hyperspectral imagery
Y Liu, L Sun, B Liu, Y Wu, J Ma, W Zhang, B Wang… - Remote Sensing, 2023 - mdpi.com
Winter wheat is a major food source for the inhabitants of North China. However, its yield is
affected by drought stress during the growing period. Hence, it is necessary to develop …
affected by drought stress during the growing period. Hence, it is necessary to develop …
[HTML][HTML] Monitoring onion crop “cipolla rossa di Tropea Calabria IGP” growth and yield response to varying nitrogen fertilizer application rates using UAV imagery
Remote sensing (RS) platforms such as unmanned aerial vehicles (UAVs) represent an
essential source of information in precision agriculture (PA) as they are able to provide …
essential source of information in precision agriculture (PA) as they are able to provide …