Precision farming at the nexus of agricultural production and the environment

R Finger, SM Swinton, N El Benni… - Annual Review of …, 2019 - annualreviews.org
Precision farming enables agricultural management decisions to be tailored spatially and
temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a …

[PDF][PDF] Applications of remote sensing in agriculture-A Review

P Shanmugapriya, S Rathika, T Ramesh… - Int. J. Curr. Microbiol …, 2019 - researchgate.net
Remote sensing is the art and science of gathering information about the objects or area of
the real world at a distance without coming into direct physical contact with the object under …

High throughput determination of plant height, ground cover, and above-ground biomass in wheat with LiDAR

JA Jimenez-Berni, DM Deery… - Frontiers in plant …, 2018 - frontiersin.org
Crop improvement efforts are targeting increased above-ground biomass and radiation-use
efficiency as drivers for greater yield. Early ground cover and canopy height contribute to …

A review of methods for sensing the nitrogen status in plants: advantages, disadvantages and recent advances

RF Muñoz-Huerta, RG Guevara-Gonzalez… - sensors, 2013 - mdpi.com
Nitrogen (N) plays a key role in the plant life cycle. It is the main plant mineral nutrient
needed for chlorophyll production and other plant cell components (proteins, nucleic acids …

Yield prediction with machine learning algorithms and satellite images

A Sharifi - Journal of the Science of Food and Agriculture, 2021 - Wiley Online Library
BACKGROUND Barley is one of the strategic agricultural products available in the world,
and yield prediction is important for ensuring food security. One way of estimating a product …

Detection of nutrition deficiencies in plants using proximal images and machine learning: A review

JGA Barbedo - Computers and Electronics in Agriculture, 2019 - Elsevier
During the last decade, the combination of digital images and machine learning techniques
for tackling agricultural problems has been one of the most explored elements of digital …

Estimating rice chlorophyll content and leaf nitrogen concentration with a digital still color camera under natural light

Y Wang, D Wang, P Shi, K Omasa - Plant methods, 2014 - Springer
Background The color of crop leaves is closely correlated with nitrogen (N) status and can
be quantified easily with a digital still color camera and image processing software. The …

A Machine Learning Approach for Mapping Chlorophyll Fluorescence at Inland Wetlands

M Bartold, M Kluczek - Remote Sensing, 2023 - mdpi.com
Wetlands are a critical component of the landscape for climate mitigation, adaptation,
biodiversity, and human health and prosperity. Keeping an eye on wetland vegetation is …

Methodology for high-throughput field phenotyping of canopy temperature using airborne thermography

DM Deery, GJ Rebetzke, JA Jimenez-Berni… - Frontiers in plant …, 2016 - frontiersin.org
Lower canopy temperature (CT), resulting from increased stomatal conductance, has been
associated with increased yield in wheat. Historically, CT has been measured with hand …

Assessment of rice leaf chlorophyll content using visible bands at different growth stages at both the leaf and canopy scale

MM Saberioon, MSM Amin, AR Anuar… - International Journal of …, 2014 - Elsevier
Nitrogen is an important variable for paddy farming management. The objectives of this
study were to develop and test a new method to determine the status of nitrogen and …