… A reliable visual evaluation of nutrientdeficiencies in plants at the three-leaf stage is … a digital imageanalysis allows to detect changes in leaf color. Color is extremely difficult to analyze …
S Jeyalakshmi, R Radha - ICTACT Journal on Image & Video …, 2017 - ictactjournals.in
… [14] have developed two models for estimating the total leaf area in perennial plants using imageanalysis. The first one measures total leaf area based on height and width of …
… diagnostics of macronutrient deficiencies in three legume species by color imageanalysis." … New method to assess barley nitrogen nutrition status based on image colour analysis: …
A Jose, S Nandagopalan, V Ubalanka… - Journal of Physics …, 2021 - iopscience.iop.org
… image data set of various common tomato diseases caused by macro nutrientsdeficiency. 2… preprocessing stage, which will enhance the accuracy of the imageanalysis. Three different …
… A low-cost smartphone controlled sensor based on imageanalysis for estimating whole-plant tissue nitrogen (N) content in floriculture crops. Computers and Electronics in Agriculture …
… of maize nutrientdeficiency to determine an action to be taken. This research using image … Gabor filter has been used by researcher for various texture analysis applications [7]. Gabor …
JGA Barbedo - Computers and Electronics in Agriculture, 2019 - Elsevier
… the analysis of hyperspectral images, probably due to the complexity involved in the analysis of … This article presented an overview about the state of the art of vegetal nutrientdeficiency …
S Graeff, W Claupein, D Steffens… - Digital Imaging and …, 2004 - Wiley Online Library
… The imageanalysis showed a close correlation across a wide nutrientdeficiency range between the nutrient … The close relationship between nutrient concentration in leaf dry matter and …
J Yi, L Krusenbaum, P Unger, H Hüging, SJ Seidel… - Sensors, 2020 - mdpi.com
… In this work, we study how well nutrientdeficiency symptoms can be recognized in RGB images of … For evaluation, we analyzed the performance of five convolutional neural networks for …