A study to find out suitable colour to control pests of chilli plants using a colour trap
Chilli (Capsicum annuum L.) is one of the most important condiment crops in Sri Lanka. The main constrain in chilli cultivation is the Leaf Curl Complex (LCC) which reduces the quality of the pods as well as the yield. Many researches have been proven that the problem can be controlled by Integrated Pest Management (IPM) practices. Colour sticky trap is one of the mechanical methods in the IPM package which reduces the pest population successfully. Mainly three colours, namely blue, yellow and white have been identified as suitable colours for traps all over the world. This study was thus, conducted to find out the most effective colour for sticky traps to control chilli leaf curl complex in the Intermediate Zone of Sri Lanka. Traps were prepared from wooden plates of 30 x 25cm in size and the colours were applied in both sides of the plate. Both colourless and odorless vaseline was used as the sticky substance. These blue, yellow and white sticky wooden plates (traps) were fixed in 1m height from the ground level and they were used as the treatments. Six pots with 2 plants each of the variety ‘KA-2’ were used in a treatment and three replicates were sited for the experiment. All the agronomic practices were equally done for all the treatments. Number of trapped pests associated with the LCC was counted in 4, 6, 9 and 12 weeks after transplanting. The number of leaves affected by the pests in a canopy was counted in 7, 10 and 12 weeks after transplanting. The number of damaged green pods and the pod weight were taken at harvesting. The mean values of the number of pests trapped in white, yellow and blue colour traps were 162, 160 and 38 respectively. The percentages of damaged leaves in a canopy at 7, 10 and 12 weeks after transplanting in the blue trap were 89.07, 98.00 and 100.00 respectively. Those values in the white trap were 87.37, 98.90 and 93.29 and in the yellow trap were 69.03, 87.26 and 82.26. Percentages of damaged green pod weight in the blue, yellow and white treatments were 66.63, 47.06 and 45.65 respectively. These results suggest that yellow and white colours are more effective in sticky traps in pest controlling to control chilli leaf curl complex in the Intermediate Zone of Sri Lanka. Further studies are required to confirm the results.
Generalized Quantum Tic-Tac-Toe
Early physicists such as Newton thought that all objects have definite positions. For example, they thought that an apple is either inside a fruit bowl, or outside of it. The advent of quantum physics in the early 20th century proved this viewpoint wrong. There is an uncertainty in the position of any object; we can find a set of possible locations where the object might be. This concept was termed superposition. Quantum tic-tac-toe (QT3) elegantly extends the popular game of tic-tac-toe by adding this quantum physics concept of superposition. Each turn, 1 piece is simultaneously played into 2 distinct squares of a 3-by-3 grid. Eventually, however, every piece will occupy exactly one square, like in tic-tac-toe. Yet, despite this intriguing addition, not much research has been done on the game. Hence in this paper we explore the game in terms of extension, analysis and solution. Firstly, we note that the quantum extension proposed by Alan Goff in QT3 is incomplete. In reality, there can be more than 2 possible locations for any object. Unfortunately, the QT3 game rules do not allow for this extension. Thus we non-trivially generalize the game (GQT3) by proposing a new set of rules. We show that the original QT3 is a subset of GQT3 and prove that our generalized game can always be successfully played from start to finish in a finite number of moves. Then, we begin our analysis of GQT3. Firstly, we investigate the game tree complexity, state space complexity and computational complexity of the game; indicators of how complicated the game is. Notably, we find here that QT3 has a total of about 18 trillion possible games, which is substantially higher than tic-tac-toe’s 400 thousand. Then we examine the Nash Equilibrium of the game; the result if two ‘Gods’ play the game against each other. We find that in this scenario, the first player will win by 0.5 points. To make the game fairer, we suggest minor variations on the scoring, which make the Nash Equilibrium a draw. Note that standard methods to analyze all of these would take at least a year, but we bring down the time to about a minute using symmetry considerations and other optimizations. Finally, we extend our programs into an artificial intelligence that is a perfect solution to the game. We then supplement this with a utility function to make the run-time performance pragmatic for more time-consuming versions of GQT3. Ultimately, GQT3 is a challenging and unique game with myriads of exploration possibilities; we have only scratched the surface here.
The discovery of America
1.- Purpose of the research This Game is a new education system, where we take as reference a historical event called "The Discovery of America." The objective is to implement a new way of teaching materials using the technology developed in recent decades, where the teacher uses a modern and educational support to keep the mind of the student in ongoing activity; this will allow greater retention which gives result better understanding and more knowledge. The system is designed to model how to teach with the versatility of being a teacher to provide knowledge through a book because it contains the text outlined and summarized the history and examination by the implementation of questions that offer 4 possible answers and answering incorrectly restart the game, it forces the player to pay attention and remember information. 2. Procedures It divided the two-step strategy: 1. Define the game. The player is asked to bring the features of the game. It must recognize three: a) The technical aspects, allowing the appropriation of technological language and sometimes the understanding of the technology used to play is essential for future acquisitions; b) the commercial tab: identify which company developed the game, age or classification suggested, price, where purchased, country of origin, etc.., a review of the business tab allows to point out habits, and c) a description of the game, review of the plot, characters, history, objectives, modality, gender (role, simulation, strategy, battle, etc..) duration, etc.. This category allows the recognition of recreational preferences of the subject. 2. Thinking the game. Before, during or after the game the subject must think what you do to win or how the game unfolds. Contrary to what seems, while playing one thinks and sometimes thinks that performing other tasks and this time it is the player or the viewer understand the way it works and identify the physical or mental is used to play, trying to understand what I do but most of all how I do it, it is metacognition. 3. Data This prototype is structured in RSS: stands for Ruby Scripting System: System with Ruby Scripting for games. Object-Oriented programming "OOP" is a model used by the most programming languages, that lets you use objects and their relationships to program what will be the final application. In order to expand its use were included languages spoken in America and expanded platform for different operating systems. 4. Conclusions With this fun game is a simple way to learn the story in time, the environment and the circumstances where the player is the student of our system that shapes the teacher, book review, making it a modern and practical way to teach with the advantage of keeping the mind active during the use of our game, this allows the continued interest in the student normally lost in conventional classes.