Preliminary research on total nitrogen content prediction of sandalwood using the error-in-variable models based on digital image processing

Using ground-based spectral reflectance sensors and photography to estimate shoot N concentration and dry matter of potato

(2018) Zhenjiang Zhou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A RVI/LAI-reference curve to detect N stress and guide N fertigation using combined information from spectral reflectance and leaf area measurements in potato

(2017) Zhenjiang Zhou et al.   EUROPEAN JOURNAL OF AGRONOMY

Active Optical Sensing of Spring Maize for In-Season Diagnosis of Nitrogen Status Based on Nitrogen Nutrition Index

(2016) Tingting Xia et al.   Remote Sensing

Visible Light Image-Based Method for Sugar Content Classification of Citrus

(2016) Xuefeng Wang et al.   PLoS One

Improving in vivo plant nitrogen content estimates from digital images: Trueness and precision of a new approach as compared to other methods and commercial devices

(2015) Roberto Confalonieri et al.   BIOSYSTEMS ENGINEERING

Android-based rice leaf color analyzer for estimating the needed amount of nitrogen fertilizer

(2015) Yuttana Intaravanne et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Nondestructive measurement of total nitrogen in lettuce by integrating spectroscopy and computer vision

(2015) Hanping Mao et al.   SCIENTIA HORTICULTURAE

Satellite Remote Sensing-Based In-Season Diagnosis of Rice Nitrogen Status in Northeast China

(2015) Shanyu Huang et al.   Remote Sensing

Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants

(2014) L.M. Romualdo et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of rice growth and nitrogen nutrition status using color digital camera image analysis

(2013) Kyu-Jong Lee et al.   EUROPEAN JOURNAL OF AGRONOMY

Shadow effect on multi-spectral image for detection of nitrogen deficiency in corn

(2012) H. Noh et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Investigation of SPAD meter-based indices for estimating rice nitrogen status

(2009) Fen Fang Lin et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE