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Advances in Sustainable Crop Management: Integrating Precision Agriculture and Proximal Sensing

https://doi.org/10.3390/agriengineering6030177

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PRIMARY AND SECONDARY EFFECTS OF WATER CONTENT ON THE SPECTRAL REFLECTANCE OF LEAVES

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RESPONSES OF LEAF SPECTRAL REFLECTANCE TO PLANT STRESS

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Hyperspectral assessment of plant responses to multi‐stress environments: Prospects for managing protected agrosystems

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Robot for weed species plant‐specific management

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Human‐robot collaborative site‐specific sprayer

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Automated crop plant detection based on the fusion of color and depth images for robotic weed control

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Implementing Precision Agriculture in the 21st Century

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A Method for Multispectral Images Alignment at Different Heights on the Crop

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Spatial and Temporal Dynamics of Plant Pathogens

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Detection and Diagnostics of Plant Pathogens

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A deep learning approach for early detection of drought stress in maize using proximal scale digital images

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inferredcites →https://doi.org/10.1007/s11119-006-9002-0openalex-snapshot

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inferredcites →https://doi.org/10.1007/s11119-006-9005-xopenalex-snapshot

Variable-rate fungicide spraying in cereals using a plant cover sensor

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inferredcites →https://doi.org/10.1007/s11119-010-9180-7openalex-snapshot

Spectral signatures of sugar beet leaves for the detection and differentiation of diseases

inferredcites →https://doi.org/10.1007/s11119-011-9237-2openalex-snapshot

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inferredcites →https://doi.org/10.1007/s11119-019-09641-1openalex-snapshot

Influence of time of day on measurement with chlorophyll meters and canopy reflectance sensors of different crop N status

inferredcites →https://doi.org/10.1007/s11119-019-09643-zopenalex-snapshot

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Economics of robots and automation in field crop production

inferredcites →https://doi.org/10.1007/s11119-021-09808-9openalex-snapshot

Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer

inferredcites →https://doi.org/10.1007/s11119-021-09817-8openalex-snapshot

Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production

inferredcites →https://doi.org/10.1007/s11119-023-10028-6openalex-snapshot

Developing an efficiency and energy-saving nitrogen management strategy for winter wheat based on the UAV multispectral imagery and machine learning algorithm

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High-throughput chlorophyll fluorescence image-based phenotyping for water deficit stress tolerance in wheat

inferredcites →https://doi.org/10.1007/s40808-021-01243-zopenalex-snapshot

Estimation of nitrogen content in wheat from proximal hyperspectral data using machine learning and explainable artificial intelligence (XAI) approach

inferredcites →https://doi.org/10.1007/s41348-017-0124-6openalex-snapshot

Benefits of hyperspectral imaging for plant disease detection and plant protection: a technical perspective

inferredcites →https://doi.org/10.1016/0378-4290(96)00018-4openalex-snapshot

Increased N-use efficiency using a chlorophyll meter on high-yielding irrigated rice

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Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation

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Combining remote sensing-derived management zones and an auto-calibrated crop simulation model to determine optimal nitrogen fertilizer rates

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Decision support systems and models for aiding irrigation and nutrient management of vegetable crops

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A robust model for diagnosing water stress of winter wheat by combining UAV multispectral and thermal remote sensing

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Image processing based real-time variable-rate chemical spraying system for disease control in paddy crop

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Field evaluation of a deep learning-based smart variable-rate sprayer for targeted application of agrochemicals

inferredcites →https://doi.org/10.1016/j.biocontrol.2021.104784openalex-snapshot

Machine learning applied to canopy hyperspectral image data to support biological control of soil-borne fungal diseases in baby leaf vegetables

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On-the-go variable-rate phosphorus fertilisation based on a visible and near-infrared soil sensor

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Intelligent multi-sensor system for the detection and treatment of fungal diseases in arable crops

inferredcites →https://doi.org/10.1016/j.biosystemseng.2012.08.009openalex-snapshot

Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

inferredcites →https://doi.org/10.1016/j.biosystemseng.2013.01.004openalex-snapshot

Laboratory vs. in-field spectral proximal sensing for early detection of Fusarium head blight infection in durum wheat

inferredcites →https://doi.org/10.1016/j.biosystemseng.2015.12.004openalex-snapshot

Selective spraying of grapevines for disease control using a modular agricultural robot

inferredcites →https://doi.org/10.1016/j.biosystemseng.2017.09.009openalex-snapshot

Close range hyperspectral imaging of plants: A review

inferredcites →https://doi.org/10.1016/j.biosystemseng.2020.01.017openalex-snapshot

Narrow-band reflectance indices for mapping the combined effects of water and nitrogen stress in field grown tomato crops

inferredcites →https://doi.org/10.1016/j.biosystemseng.2020.02.004openalex-snapshot

Simulation and parameter optimisation of a centrifugal rice seeding spreader for a UAV

inferredcites →https://doi.org/10.1016/j.biosystemseng.2021.10.006openalex-snapshot

Optimising site-specific potato seeding rates for maximum yield and profitability

inferredcites →https://doi.org/10.1016/j.biosystemseng.2021.12.008openalex-snapshot

Exploring hyperspectral reflectance indices for the estimation of water and nitrogen status of spinach

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A review of advanced techniques for detecting plant diseases

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Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

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Variable rate spreader for real-time spot-application of granular fertilizer in wild blueberry

inferredcites →https://doi.org/10.1016/j.compag.2016.12.002openalex-snapshot

An intelligent precision orchard pesticide spray technique based on the depth-of-field extraction algorithm

inferredcites →https://doi.org/10.1016/j.compag.2017.05.012openalex-snapshot

A farmer-assistant robot for nitrogen fertilizing management of greenhouse crops

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A review on the practice of big data analysis in agriculture

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Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield

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Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

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NU-Spidercam: A large-scale, cable-driven, integrated sensing and robotic system for advanced phenotyping, remote sensing, and agronomic research

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

inferredcites →https://doi.org/10.1016/j.compag.2019.04.040openalex-snapshot

Site-specific orchard sprayer equipped with machine vision for chemical usage management

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Optoelectronic proximal sensing vehicle-mounted technologies in precision agriculture: A review

inferredcites →https://doi.org/10.1016/j.compag.2019.104860openalex-snapshot

Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants

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Detection and differentiation between potato (Solanum tuberosum) diseases using calibration models trained with non-imaging spectrometry data

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Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach

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Night-based hyperspectral imaging to study association of horticultural crop leaf reflectance and nutrient status

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FastMapping: Software to create field maps and identify management zones in precision agriculture

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Map-based site-specific seeding of consumption potato production using high-resolution soil and crop data fusion

inferredcites →https://doi.org/10.1016/j.compag.2020.105832openalex-snapshot

Variable-rate control system for UAV-based granular fertilizer spreader

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Modeling and simulation of a multi-parametric fuzzy expert system for variable rate nitrogen application

inferredcites →https://doi.org/10.1016/j.compag.2021.106421openalex-snapshot

Estimation of nitrogen nutrition index in rice from UAV RGB images coupled with machine learning algorithms

inferredcites →https://doi.org/10.1016/j.compag.2022.106684openalex-snapshot

Robotic Fertilization in Strip Cropping using a CNN Vegetables Detection-Characterization Method

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Detection and discrimination of disease and insect stress of tea plants using hyperspectral imaging combined with wavelet analysis

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Assessment of map based variable rate strategies for copper reduction in hedge vineyards

inferredcites →https://doi.org/10.1016/j.compag.2023.108579openalex-snapshot

Design, fabrication and evaluation of a robot for plant nutrient monitoring in greenhouse (case study: Iron nutrient in spinach)

inferredcites →https://doi.org/10.1016/j.compag.2024.108761openalex-snapshot

Robot driven combined site-specific maize seeding and N fertilization: An agro-economic investigation

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Early detection of wilt in Cajanus cajan using satellite hyperspectral images: Development and validation of disease-specific spectral index with integrated methodology

inferredcites →https://doi.org/10.1016/j.compag.2024.108796openalex-snapshot

Analyzing the synergistic impact of UAV-based technology and knapsack sprayer on weed management, yield-contributing traits, and yield in wheat (Triticum aestivum L.) for enhanced agricultural operations

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Smart Farming in Europe

inferredcites →https://doi.org/10.1016/j.cropro.2010.12.015openalex-snapshot

Detection of head blight (Fusarium ssp.) in winter wheat by color and multispectral image analyses

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Smart sprayer a technology for site-specific herbicide application

inferredcites →https://doi.org/10.1016/j.ecoenv.2021.113056openalex-snapshot

Study on effects of airborne Pb pollution on quality indicators and accumulation in tea plants using Vis-NIR spectroscopy coupled with radial basis function neural network

inferredcites →https://doi.org/10.1016/j.eja.2020.126193openalex-snapshot

Machine learning-based in-season nitrogen status diagnosis and side-dress nitrogen recommendation for corn

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Remote Sensing-based crop yield model at field and within-field scales in wheat and barley crops

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Understanding the spatio-temporal behavior of crop yield, yield components and weed pressure using time series Sentinel-2-data in an organic farming system

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Can crop modelling, proximal sensing and variable rate application techniques be integrated to support in-season nitrogen fertilizer decisions? An application in corn

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Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

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Deep learning for proximal soil sensor development towards smart irrigation

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Using in-situ hyperspectral data for detecting and discriminating yellow rust disease from nutrient stresses

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Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor

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Using the time series nitrogen diagnosis curve for precise nitrogen management in wheat and rice

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Predicting soil texture from smartphone-captured digital images and an application

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Multi-algorithm comparison to predict soil organic matter and soil moisture content from cell phone images

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Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study

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Evaluation of computer imaging technique for predicting the SPAD readings in potato leaves

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Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance

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UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras

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Early-season maize responses to salt stress: Morpho-physiological, leaf reflectance, and mineral composition

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Design and development of a robot for spraying fertilizers and pesticides for agriculture

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What contributes more to life-cycle greenhouse gas emissions of farm produce: Production, transportation, packaging, or food loss?

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PROSPECT-4 and 5: Advances in the leaf optical properties model separating photosynthetic pigments

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Development of spectral indices for detecting and identifying plant diseases

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On the potential of Polarimetric SAR Interferometry to characterize the biomass, moisture and structure of agricultural crops at L-, C- and X-Bands

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Remote sensing for agricultural applications: A meta-review

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Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

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Plant disease detection based on data fusion of hyper-spectral and multi-spectral fluorescence imaging using Kohonen maps

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Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice

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Characterization of invisible symptoms caused by early phosphorus deficiency in cucumber plants using near-infrared hyperspectral imaging technology

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Proximal hyperspectral sensing of abiotic stresses in plants

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A review of visible and near-infrared (Vis-NIR) spectroscopy application in plant stress detection

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Map-based site-specific seeding of seed potato production by fusion of proximal and remote sensing data

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Site-specific seeding for maize production using management zone maps delineated with multi-sensors data fusion scheme

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UAV remote sensing phenotyping of wheat collection for response to water stress and yield prediction using machine learning

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Noninvasive imaging technologies in plant phenotyping

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Advanced spectroscopic techniques for plant disease diagnostics. A review

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Spectroscopic Determination of Leaf Biochemistry Using Band-Depth Analysis of Absorption Features and Stepwise Multiple Linear Regression

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Precision agriculture—a worldwide overview

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Spatial validation of crop models for precision agriculture

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Challenging targets for future agriculture

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GPhenoVision: A Ground Mobile System with Multi-modal Imaging for Field-Based High Throughput Phenotyping of Cotton

inferredcites →https://doi.org/10.1038/s41598-018-21191-6openalex-snapshot

Detection of multi-tomato leaf diseases (late blight, target and bacterial spots) in different stages by using a spectral-based sensor

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Surveying soil-borne disease development on wild rocket salad crop by proximal sensing based on high-resolution hyperspectral features

inferredcites →https://doi.org/10.1071/ea97158openalex-snapshot

Soil chemical analytical accuracy and costs: implications from precision agriculture

inferredcites →https://doi.org/10.1078/0176-1617-00887openalex-snapshot

Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves

inferredcites →https://doi.org/10.1080/05704928.2017.1352510openalex-snapshot

Early detection of diseases in plant tissue using spectroscopy – applications and limitations

inferredcites →https://doi.org/10.1080/10106049.2019.1618922openalex-snapshot

Application of thermal imaging and hyperspectral remote sensing for crop water deficit stress monitoring

inferredcites →https://doi.org/10.1093/jxb/erj170openalex-snapshot

Thermal imaging of cucumber leaves affected by downy mildew and environmental conditions

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The interaction of plant biotic and abiotic stresses: from genes to the field

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Development of a Trigger-On Indicator for a Weed Sensing Spray Unit

inferredcites →https://doi.org/10.1094/pdis-03-15-0340-feopenalex-snapshot

Plant Disease Detection by Imaging Sensors – Parallels and Specific Demands for Precision Agriculture and Plant Phenotyping

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Artificial Intelligence Technology in the Agricultural Sector: A Systematic Literature Review

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Disease and pest prediction IoT system in orchard: A preliminary study

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Robotized Early Plant Health Monitoring System

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New Optimized Spectral Indices for Identifying and Monitoring Winter Wheat Diseases

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Robotic Disease Detection in Greenhouses: Combined Detection of Powdery Mildew and Tomato Spotted Wilt Virus

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Practical experiences with a system for site‐specific weed control in arable crops using real‐time image analysis and GPS‐controlled patch spraying

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In situ measurement of leaf chlorophyll concentration: analysis of the optical/absolute relationship

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Fusion of sensor data for the detection and differentiation of plant diseases in cucumber

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Precision Agriculture and Food Security

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Significant Remote Sensing Vegetation Indices: A Review of Developments and Applications

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Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases

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Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model

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Development of an accurate low cost NDVI imaging system for assessing plant health

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Meta-Analysis of the Detection of Plant Pigment Concentrations Using Hyperspectral Remotely Sensed Data

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Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶

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Deep Learning with Unsupervised Data Labeling for Weeds Detection on UAV Images

inferredcites →https://doi.org/10.21273/hortsci.27.1.69openalex-snapshot

Inherent Limitations of Nondestructive Chlorophyll Meters: A Comparison of Two Types of Meters

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