Machine learning in agriculture: A comprehensive updated review

L Benos, AC Tagarakis, G Dolias, R Berruto, D Kateris… - Sensors, 2021 - mdpi.com
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 …

[HTML][HTML] The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems

J Jung, M Maeda, A Chang, M Bhandari… - Current Opinion in …, 2021 - Elsevier
Modern agriculture and food production systems are facing increasing pressures from
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

MF Aslan, A Durdu, K Sabanci, E Ropelewska… - Applied Sciences, 2022 - mdpi.com
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 …

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) …

Ensuring agricultural sustainability through remote sensing in the era of agriculture 5.0

V Martos, A Ahmad, P Cartujo, J Ordoñez - Applied Sciences, 2021 - mdpi.com
Timely and reliable information about crop management, production, and yield is considered
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

F Ecer, İY Ögel, R Krishankumar… - Artificial intelligence review, 2023 - Springer
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 …

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 …

A physio-morphological trait-based approach for breeding drought tolerant wheat

K Khadka, HJ Earl, MN Raizada, A Navabi - Frontiers in plant science, 2020 - frontiersin.org
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 …

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 …

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 …