Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
[HTML][HTML] The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems
Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …
climate change, land and water availability, and, more recently, a pandemic. These factors …
A comprehensive survey of the recent studies with UAV for precision agriculture in open fields and greenhouses
The increasing world population makes it necessary to fight challenges such as climate
change and to realize production efficiently and quickly. However, the minimum cost …
change and to realize production efficiently and quickly. However, the minimum cost …
Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey
J Liu, J Xiang, Y Jin, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
Ensuring agricultural sustainability through remote sensing in the era of agriculture 5.0
Timely and reliable information about crop management, production, and yield is considered
of great utility by stakeholders (eg, national and international authorities, farmers …
of great utility by stakeholders (eg, national and international authorities, farmers …
The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era
Smart agriculture is gaining a lot of attention recently, owing to technological advancement
and promotion of sustainable habits. Unmanned aerial vehicles (UAVs) play a crucial role in …
and promotion of sustainable habits. Unmanned aerial vehicles (UAVs) play a crucial role in …
A comprehensive review of remote sensing platforms, sensors, and applications in nut crops
H Jafarbiglu, A Pourreza - Computers and Electronics in Agriculture, 2022 - Elsevier
Background Due to their high protein content, nuts (almond, walnut, and pistachio) are
among the main substitutes for meat, with a growing share of the food basket in the United …
among the main substitutes for meat, with a growing share of the food basket in the United …
A physio-morphological trait-based approach for breeding drought tolerant wheat
In the past, there have been drought events in different parts of the world, which have
negatively influenced the productivity and production of various crops including wheat …
negatively influenced the productivity and production of various crops including wheat …
Corn grain yield estimation from vegetation indices, canopy cover, plant density, and a neural network using multispectral and RGB images acquired with unmanned …
H García-Martínez, H Flores-Magdaleno… - Agriculture, 2020 - mdpi.com
Corn yields vary spatially and temporally in the plots as a result of weather, altitude, variety,
plant density, available water, nutrients, and planting date; these are the main factors that …
plant density, available water, nutrients, and planting date; these are the main factors that …
Bibliometric analysis of global NDVI research trends from 1985 to 2021
Y Xu, Y Yang, X Chen, Y Liu - Remote Sensing, 2022 - mdpi.com
As one of the earliest remote sensing indices, the Normalized Difference Vegetation Index
(NDVI) has been employed extensively for vegetation research. However, despite an …
(NDVI) has been employed extensively for vegetation research. However, despite an …