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] Decision support systems for agriculture 4.0: Survey and challenges
Undoubtedly, high demands for food from the world-wide growing population are impacting
the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as …
the environment and putting many pressures on agricultural productivity. Agriculture 4.0, as …
A systematic review on monitoring and advanced control strategies in smart agriculture
Automation in agriculture nowadays is the main focus and area of development for various
countries. The population rate of the world is increasing rapidly and will be double in …
countries. The population rate of the world is increasing rapidly and will be double in …
A bibliometric review of the use of unmanned aerial vehicles in precision agriculture and precision viticulture for sensing applications
This review focuses on the use of unmanned aerial vehicles (UAVs) in precision agriculture,
and specifically, in precision viticulture (PV), and is intended to present a bibliometric …
and specifically, in precision viticulture (PV), and is intended to present a bibliometric …
[HTML][HTML] A concept for application of integrated digital technologies to enhance future smart agricultural systems
G Gebresenbet, T Bosona, D Patterson… - Smart agricultural …, 2023 - Elsevier
Future agricultural systems should increase productivity and sustainability of food production
and supply. For this, integrated and efficient capture, management, sharing, and use of …
and supply. For this, integrated and efficient capture, management, sharing, and use of …
A survey towards decision support system on smart irrigation scheduling using machine learning approaches
From last decade, Big data analytics and machine learning is a hotspot research area in the
domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big …
domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big …
Ten years of corn yield dynamics at field scale under digital agriculture solutions: A case study from North Italy
Farmer's management decisions and environmental factors are the main drivers for field
spatial and temporal yield variability. In this study, a 22 ha field cultivated with corn for more …
spatial and temporal yield variability. In this study, a 22 ha field cultivated with corn for more …
Advances in unmanned aerial system remote sensing for precision viticulture
New technologies for management, monitoring, and control of spatio-temporal crop
variability in precision viticulture scenarios are numerous. Remote sensing relies on sensors …
variability in precision viticulture scenarios are numerous. Remote sensing relies on sensors …
An IoT based smart farming system using machine learning
Smart farming allows to analyze the growth of plants and to influence the parameters of our
system in real time in order to optimize plant growth and support the farmer in his activity …
system in real time in order to optimize plant growth and support the farmer in his activity …
A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on Aglianico vineyard
In this century, one of the main objectives of agriculture is sustainability addressed to
achieve food security, based on the improvement of use efficiency of farm resources, the …
achieve food security, based on the improvement of use efficiency of farm resources, the …