Non-Invasive Sensing of Nitrogen in Plant Using Digital Images and Machine Learning for Brassica Campestris ssp. Chinensis L.

Replacing the Nitrogen Nutrition Index by SPAD Values and Analysis of Effect Factors for Estimating Rice Nitrogen Status

(2018) H. Yang et al.   AGRONOMY JOURNAL

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

(2018) Artzai Picon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Nutrition Diagnosis for Nitrogen in Winter Wheat Based on Critical Nitrogen Dilution Curves

(2018) Minhua Yin et al.   CROP SCIENCE

Building A Globally Optimized Computational Intelligent Image Processing Algorithm for On-Site Nitrogen Status Analysis in Plants

(2018) Susanto Sulistyo et al.   IEEE INTELLIGENT SYSTEMS

An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis

(2018) Unseok Lee et al.   PLoS One

Novel Digital Features Discriminate Between Drought Resistant and Drought Sensitive Rice Under Controlled and Field Conditions

(2018) Lingfeng Duan et al.   Frontiers in Plant Science

Identification of Nitrogen, Phosphorus, and Potassium Deficiencies Based on Temporal Dynamics of Leaf Morphology and Color

(2018) Yuanyuan Sun et al.   Sustainability

Alleviation of Drought Stress by Nitrogen Application in Brassica campestris ssp. Chinensis L.

(2018) Xin Xiong et al.   Agronomy-Basel

Estimation of vegetation fraction using RGB and multispectral images from UAV

(2018) Mariana de Jesús Marcial-Pablo et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Elucidating Sorghum Biomass, Nitrogen and Chlorophyll Contents With Spectral and Morphological Traits Derived From Unmanned Aircraft System

(2018) Jiating Li et al.   Frontiers in Plant Science

Development of a critical nitrogen dilution curve based on leaf dry matter for summer maize

(2017) Ben Zhao et al.   FIELD CROPS RESEARCH

Use of a chlorophyll meter to assess nitrogen nutrition index during the growth cycle in winter wheat

(2017) Clémence Ravier et al.   FIELD CROPS RESEARCH

Regularized Neural Networks Fusion and Genetic Algorithm Based On-Field Nitrogen Status Estimation of Wheat Plants

(2017) Susanto B. Sulistyo et al.   IEEE Transactions on Industrial Informatics

Interactive effects of irrigation and nitrogen fertilizer on yield, nitrogen uptake, and recovery of two successive Chinese cabbage crops as assessed using 15N isotope

(2017) Na Gao et al.   SCIENTIA HORTICULTURAE

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Discrimination of plant root zone water status in greenhouse production based on phenotyping and machine learning techniques

(2017) Doudou Guo et al.   Scientific Reports

Development of a Critical Nitrogen Dilution Curve of Double Cropping Rice in South China

(2017) Zhiyuan He et al.   Frontiers in Plant Science

PlantCV v2: Image analysis software for high-throughput plant phenotyping

(2017) Malia A. Gehan et al.   PeerJ

Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms

(2017) Fernando Perez-Sanz et al.   GigaScience

Proximal optical sensing of cucumber crop N status using chlorophyll fluorescence indices

(2016) Francisco M. Padilla et al.   EUROPEAN JOURNAL OF AGRONOMY

Evaluating winter wheat (Triticum aestivumL.) nitrogen status using canopy spectrum reflectance and multiple statistical analysis

(2016) Mei-chen Feng et al.   SPECTROSCOPY LETTERS

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Non-destructive Assessment of Plant Nitrogen Parameters Using Leaf Chlorophyll Measurements in Rice

(2016) Syed Tahir Ata-Ul-Karim et al.   Frontiers in Plant Science

Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars

(2015) Tyler J. Nigon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up

(2015) Noah Fahlgren et al.   CURRENT OPINION IN PLANT BIOLOGY

In field non-invasive sensing of the nitrogen status in hybrid bermudagrass (Cynodon dactylon × C. transvaalensis Burtt Davy) by a fluorescence-based method

(2015) Giovanni Agati et al.   EUROPEAN JOURNAL OF AGRONOMY

Nondestructive Optical Sensing of Flavonols and Chlorophyll in White Head Cabbage (Brassica oleracea L. var. capitata subvar. alba) Grown under Different Nitrogen Regimens

(2015) Giovanni Agati et al.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

Early Detection and Quantification of Verticillium Wilt in Olive Using Hyperspectral and Thermal Imagery over Large Areas

(2015) Rocío Calderón et al.   Remote Sensing

Multi-temporal mapping of the vegetation fraction in early-season wheat fields using images from UAV

(2014) J. Torres-Sánchez et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fertilizer nitrogen recovery efficiencies in crop production systems of China with and without consideration of the residual effect of nitrogen

(2014) Xiaoyuan Yan et al.   Environmental Research Letters

Evaluation of optical sensor measurements of canopy reflectance and of leaf flavonols and chlorophyll contents to assess crop nitrogen status of muskmelon

(2014) Francisco M. Padilla et al.   EUROPEAN JOURNAL OF AGRONOMY

Digital imaging approaches for phenotyping whole plant nitrogen and phosphorus response inBrachypodium distachyon

(2014) Richard Poiré et al.   Journal of Integrative Plant Biology

Identification of Nitrogen, Phosphorus, and Potassium Deficiencies in Rice Based on Static Scanning Technology and Hierarchical Identification Method

(2014) Lisu Chen et al.   PLoS One

Estimating nitrogen status of rice using the image segmentation of G-R thresholding method

(2013) Yuan Wang et al.   FIELD CROPS RESEARCH

Optimizing nitrogen input to reduce nitrate leaching loss in greenhouse vegetable production

(2012) Ju Min et al.   AGRICULTURAL WATER MANAGEMENT

Fluorescence-based versus reflectance proximal sensing of nitrogen content in Paspalum vaginatum and Zoysia matrella turfgrasses

(2012) Giovanni Agati et al.   EUROPEAN JOURNAL OF AGRONOMY

Support Vector Machines for crop/weeds identification in maize fields

(2012) J.M. Guerrero et al.   EXPERT SYSTEMS WITH APPLICATIONS

Digital repeat photography for phenological research in forest ecosystems

(2011) Oliver Sonnentag et al.   AGRICULTURAL AND FOREST METEOROLOGY

Nitrogen Balance and Loss in a Greenhouse Vegetable System in Southeastern China

(2011) Ju MIN et al.   PEDOSPHERE

Prediction of regulatory interactions in Arabidopsis using gene-expression data and support vector machines

(2011) Xiaoqing Yu et al.   PLANT PHYSIOLOGY AND BIOCHEMISTRY

Automatic segmentation of relevant textures in agricultural images

(2010) M. Guijarro et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction of Fungicidal Activities of Rice Blast Disease Based on Least-Squares Support Vector Machines and Project Pursuit Regression

(2008) Hongying Du et al.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY