Abstract : Background: Vegetable agriculture is very important to human continued existence and remains a key driver of many economies worldwide, especially in underdeveloped and developing economies. Objectives: There is an increasing demand for food and cash crops, due to the increasing in world population and the challenges enforced by climate modifications, there is an urgent need to increase plant production while reducing costs. Methods: In this paper, Lemon classification approach is presented with a dataset that contains approximately 2,000 (...) images belong to 3 species at a few developing phases. Convolutional Neural Network (CNN) algorithms, a deep learning technique extensively applied to image recognition was used, for this task. The results: found that CNN-driven lemon classification applications when used in farming automation have the latent to enhance crop harvest and improve output and productivity when designed properly. The trained model achieved an accuracy of 99.48% on a held-out test set, demonstrating the feasibility of this approach. (shrink)

Abstract: Lemons are an important fruit that have a wide range of uses and benefits, from culinary to health to household and beauty applications. Deep learning techniques have shown promising results in image classification tasks, including fruit quality detection. In this paper, we propose a convolutional neural network (CNN)-based approach for detecting the quality of lemons by analysing visual features such as colour and texture. The study aims to develop and train a deep learning model to classify lemons based on (...) their quality, evaluate the model's performance, compare it to traditional machine learning approaches, and identify key factors that affect the model's performance. The dataset used in the study consists of approximately 2533 images of lemons and an empty surface, divided into training, test, and validation data, and includes images of both good and bad quality lemons under different lighting conditions. The deep learning model achieved an accuracy of 99.74% on the test dataset and outperformed traditional machine learning approaches. The developed model has the potential to improve efficiency and accuracy in lemon quality control in the agriculture and food industry. (shrink)

I make the observation that English sentences such as “You have reason to take the bus or to take the train” do not have the logical form that they superficially appear to have. I find in these sentences a conjunctive use of “or,” as found in sentences like “You can have milk or lemon in your tea,” which gives you a permission to have milk, and a permission to have lemon, though no permission to have both. I argue (...) that a confusion of genuine disjunctions with sentences of the above form has motivated the mistaken acceptance by some philosophers of principles like the one I call “Liberal Transmission.” This is the principle that if you have a reason to do something, then you have a reason to do it in each of the possible ways in which it can be done (though not more than one of them). I argue that Liberal Transmission and its close relatives are false. Wide-scope reasons are defined as reasons that have a conditional or other logical connective within the scope of the reason operator. For example, a wide-scope instrumental reason might be: reason(if you have an end, take the means). By refuting Liberal Transmission, I show that you could have wide-scope instrumental reasons like this while nevertheless lacking any narrow-scope reason to take the means, or narrow-scope reason to not have the end. This enables me to respond to two major objections to the wide-scope approach to the instrumental principle that have been developed by Joseph Raz and by Niko Kolodny. (shrink)

This paper is an essay in counterfactual epistemology. What if experience have high-level contents, to the effect that something is a lemon or that someone is sad? I survey the consequences for epistemology of such a scenario, and conclude that many of the striking consequences could be reached even if our experiences don't have high-level contents.

I open my eyes and see that the lemon before me is yellow. States like this—states of seeing that $p$ —appear to be visual perceptual states, in some sense. They also appear to be propositional attitudes (and so states with propositional representational contents). It might seem, then, like a view of perceptual experience on which experiences have propositional representational contents—a Propositional View—has to be the correct sort of view for states of seeing that $p$ . And thus we can’t (...) sustain fully general non-Propositional but Representational, or Relational Views of experience. But despite what we might initially be inclined to think when reflecting upon the apparent features of states of seeing that $p$ , a non-propositional view of seeing that $p$ is, I argue, perfectly intelligible. (shrink)

In philosophical literature, the complex emotional state of ressentiment gained popularity through the writings of Friedrich Nietzsche. According to Nietzsche, ressentiment was a bad feeling that reflected the suppressed anger, the pain of impotence, and the general misery of the weak when they compared themselves to the strong and talented members of society. Max Scheler took up Nietzsche’s thesis and described ressentiment as a complex condition characterised by a thirst for revenge. Moreover, ressentiment has the annoying property of presenting itself (...) as having some merit: the modern social and political context offers more than enough examples. First, the aim of this article is to take a closer look at Nietzsche’s ‘man of ressentiment,’ an odious personality characterised by weakness, deep frustrations, and hypocrisy. It will turn out that ressentiment has many different shades that paint a somewhat different picture and raise philosophical questions about positive valuation, vulnerability, and the sense of injustice. Second, we shall be working on the link between the psychology of ressentiment and the temptation to lack integrity in writing, art, or science. The well-described and well-known fact that academic fraudsters evolve in disguise, that they first reactively endorse values very different from their own values, and that these plagiarist authors, second, embark on long-term projects repeating their misdeeds and errors, as if it were normal, are two facts worthy of our attention. (shrink)