[HTML][HTML] Automation and digitization of agriculture using artificial intelligence and internet of things
A Subeesh, CR Mehta - Artificial Intelligence in Agriculture, 2021 - Elsevier
The growing population and effect of climate change have put a huge responsibility on the
agriculture sector to increase food-grain production and productivity. In most of the countries …
agriculture sector to increase food-grain production and productivity. In most of the countries …
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 …
A novel deep learning model for detection of severity level of the disease in citrus fruits
Citrus fruit diseases have an egregious impact on both the quality and quantity of the citrus
fruit production and market. Automatic detection of severity is essential for the high-quality …
fruit production and market. Automatic detection of severity is essential for the high-quality …
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems
With being rapid increasing population in worldwide, the need for satisfactory level of crop
production with decreased amount of agricultural lands. Machine vision would ensure the …
production with decreased amount of agricultural lands. Machine vision would ensure the …
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
In agriculture, plant diseases are primarily responsible for the reduction in production which
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …
Image acquisition, preprocessing and classification of citrus fruit diseases: A systematic literature review
Different kinds of techniques are evaluated and analyzed for various classification models
for the detection of diseases of citrus fruits. This paper aims to systematically review the …
for the detection of diseases of citrus fruits. This paper aims to systematically review the …
Citrus pests classification using an ensemble of deep learning models
Early diagnosis of plant pests is essential for reducing the consumption of agricultural
pesticides as well as saving costs and reducing environmental pollutions. In this paper, an …
pesticides as well as saving costs and reducing environmental pollutions. In this paper, an …
Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits
The important internal quality parameters of apples are firmness and soluble solids content
(SSC); features that affect consumers' preferences and the marketing of apples …
(SSC); features that affect consumers' preferences and the marketing of apples …
Soil sensors-based prediction system for plant diseases using exploratory data analysis and machine learning
Plant diseases cause losses to agricultural production and hence, the economy. This
necessitates a need to develop prediction models for the plant disease detection and …
necessitates a need to develop prediction models for the plant disease detection and …
[HTML][HTML] Comparison of multiclass classification techniques using dry bean dataset
Background The application of classsification methods through multivariate and machine
learning techniques has enormous significance in agricultural sector. It is vital to classify …
learning techniques has enormous significance in agricultural sector. It is vital to classify …