An automated detection and classification of citrus plant diseases using image processing techniques: A review
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …
commonly grown fruits all over the world. The citrus producing companies create a large …
Machine vision systems in precision agriculture for crop farming
Machine vision for precision agriculture has attracted considerable research interest in
recent years. The aim of this paper is to review the most recent work in the application of …
recent years. The aim of this paper is to review the most recent work in the application of …
Detection and classification of groundnut leaf nutrient level extraction in RGB images
M Janani, R Jebakumar - Advances in Engineering Software, 2023 - Elsevier
In agriculture, identifying the deficient or excess nutrients in the leaf is a significant concern
for attaining the higher yield and productivity of any crop. Several image processing …
for attaining the higher yield and productivity of any crop. Several image processing …
[HTML][HTML] Feature aggregation for nutrient deficiency identification in chili based on machine learning
Macronutrient deficiency inhibits the growth and development of chili plants. One of the non-
destructive methods that plays a role in processing plant image data based on specific …
destructive methods that plays a role in processing plant image data based on specific …
Detection and classification of nutrient deficiencies in plants using machine learning
A Jose, S Nandagopalan, V Ubalanka… - Journal of Physics …, 2021 - iopscience.iop.org
Agriculture is the major factor contributing to Indian Economy. According to the current
statistics, its contribution to GDP sector is 17.9%. Technical advancement in agricultural …
statistics, its contribution to GDP sector is 17.9%. Technical advancement in agricultural …
Enhancing plant nutritional deficiency analysis: a multi-attention convolutional neural network approach
Accurately identifying plant nutritional deficiencies is crucial for promoting optimal growth
and productivity. Nutritional deficiency changes plant leaves' colour, texture, and structure …
and productivity. Nutritional deficiency changes plant leaves' colour, texture, and structure …
Rice disease detection using intensity moments and random forest
Improvement of an automated method for recognizing and categorizing various plant
diseases is an evolving research area. Usually, it is very time-consuming to recognize plant …
diseases is an evolving research area. Usually, it is very time-consuming to recognize plant …
[PDF][PDF] Design of an intelligent hydroponics system to identify macronutrient deficiencies in chili
Nutrient contents are important for plants. Lack of macronutrients causes plant damage.
Several macronutrient deficiencies exhibit similar visual characteristics that are difficult for …
Several macronutrient deficiencies exhibit similar visual characteristics that are difficult for …
A deep learning algorithm for detection of potassium deficiency in a red grapevine and spraying actuation using a raspberry pi3
The fourth industrial revolution (4IR) has ushered in technological advancement, which is
currently reshaping all sectors of the economy, including the agricultural domain. This paper …
currently reshaping all sectors of the economy, including the agricultural domain. This paper …
A comparative analysis of machine learning approaches for plant disease identification
H ur Rahman, NJ Ch, SU Manzoor… - … in life sciences, 2017 - submission.als-journal.com
Background: The problems to leaf in plants are very severe and they usually shorten the
lifespan of plants. Leaf diseases are mainly caused due to three types of attacks including …
lifespan of plants. Leaf diseases are mainly caused due to three types of attacks including …