eChapters

Water colour is consequences of the plankton, humus, metal ions (iron and manganese), weeds and peat materials, presence in water. Iron oxides cause reddish color whereas Manganese oxides causes brown or brackish colour in water. Water colour of an aquatic body also indicates the density of planktons. Brownish colouration without any foul smell is an indication of good growth of zooplankton. Phytoplankton or algae are usually green in colour and these green alage in large quantities turn the green color of water. Water color suggests plankton or other aquatic life growth, clear and transparent colour of water indicates low and poor growth of plankton. Brownish green to greenish brown colour of water indicates well for aquaculture.
Principle
Natural waters colour comprising yellow-brownish in appearance. It has been observed that potassium chloroplatinate (K2PtCl2) tinted with small amounts of CoCl2 yield colours that are very much like the natural colours of water. 1 mg/L of Pt (K2PtCl6) produces a standard 1 unit of colour. The intensity of colour increases as pH rises. For this reason recording pH together with colour is advisable.

To achieve maximum possible irrigation efficiencies, there are two approaches.

Modernization of conveyance system down below the reservoirs upto government controlled outlet. Involves mainly the construction and maintenance of head sluices, main canals, branch canals, and distributaries (Modernization of supplier’s side or system level development works)

Modernization below the government controlled outlets upto the drains (Modernization of user’s side or farm level development works). Also known as On-Farm Development Works (OFD).

In the Asian and Pacific ‘region, it is China alone which produces the largest quantities of agricultural waste and also crop residues. This is followed by India. From the production of rice, corn and wheat alone 587 million tons of residues are generated per year in China. Maheshwari (2014) has surveyed the proportions of waste that Malaysia generates from the production of rice, palm oil, rubber, coconut and forest products. In Myanmar the crop waste and residues constitute about 4 million tons per year out of which more than half constitutes rice husk.

18.1 Introduction

The commercially available water quality simulation models with various dimensions (1D, 2D and 3D) and database software designed to quantify movement and concentration of contaminants in lakes, streams, estuaries, and marine environments. The following water quality models were described below (Table 18.1).

18.2 Environmental Fluid Dynamics Code

The Environmental Fluid Dynamics Code (EFDC) is a multifunctional surface water modeling system, which includes hydrodynamic, sediment-contaminant, and eutrophication components. It has been applied to over 100 water bodies including rivers, lakes, reservoirs, wetlands, estuaries, and coastal ocean regions in support of environmental assessment and management and regulatory requirements. IT is a state-of-the-art hydrodynamic model that can be used to simulate aquatic systems in one, two, and three dimensions. It has evolved over the past two decades to become one of the most widely used and technically defensible hydrodynamic models in the world. It uses stretched or sigma vertical coordinates and Cartesian or curvilinear, orthogonal horizontal coordinates to represent the physical characteristics of a waterbody. It solves three-dimensional, vertically hydrostatic, free surface, turbulent averaged equations of motion for a variable-density fluid. Dynamically-coupled transport equations for turbulent kinetic energy, turbulent length scale, salinity and temperature are also solved. The model allows for drying and wetting in shallow areas by a mass conservation scheme.

11.1. Central Silk Board

Established in 1948 at Bangalore under administrative control of Ministry of Textiles.

Vegetation is a key component in hydrologic modeling. Transpiration, a component in hydrologic cycle, is contributed by vegetation. Most of the hydrologic model thus includes vegetation as a parameter. For accurate and appropriate model output, first requirement is good quality data. Most of the time, the data on vegetation is confusing, as in literature various researcher have used different values for common vegetation parameters. Here some common parameters of some important crops, which yield good quality results, are given.

Kharif crops are generally sown during last week of May and first week of June, while rabi crop are sown during last week of November and first week of December. But this period will vary from region to region as well as depends on variety of crop.

Objectives
• To understand the meaning and importance of communication.
• To explore the basic components and process of communication.
• To identify the different types and forms of communication.
• To recognize barriers to effective communication and strategies to overcome them.
• To develop an appreciation for the role of communication in personal and professional contexts.
Meaning and Importance of Communication
Communication is the process of exchanging information, ideas, emotions, and messages between individuals or groups. It is a fundamental aspect of human interaction and plays a vital role in personal, social, and professional contexts. Effective communication enables understanding, fosters relationships, and facilitates decision-making.

Objectives
• Understand the concept of communication gap.
• Identify the reasons behind communication gaps in personal, professional, and organizational settings.
• Explore the effects of communication gaps on relationships and productivity.
• Develop strategies to overcome communication gaps effectively.
Communication Gap
A communication gap occurs when there is a breakdown in the communication process, leading to misunderstandings, incomplete information transfer, or misinterpretation of messages. It can happen between individuals, groups, or organizations, and has significant impacts on relationships, productivity, and decision-making.
Reasons for Communication Gaps
Several factors contribute to communication gaps. These reasons can be categorized into three broad areas: individual, organizational, and technological.

3.1. Communication

Leagans (1961) refers as process by which two or more people exchange ideas, facts, feelings or impressions in ways that each gains a common understanding of meaning, intent and use of messages.

Communis is Latin word - meaning common.

Act of getting a sender and a receiver tuned together for a particular message, or a series of message.

Winfield (1957) refers as whole learning process; encompasses

º Teacher - message or material to be taught

The communication module is a device which is used to control the communication between the stations. This chapter explores the different communication modules and their specifications.

5.1 WiFi

ESP8266 WiFi Module is a WiFi serial transceiver module. This chip has a full TCP/IP protocol stack with the computational power onboard. This makes the board simple to use as Wi-Fi connection board. The specification of this board includes, 32-pin QFN package, Integrated RF switch, Integrated RISC processor. It has on-chip memory with external memory interfaces, integrated MAC/baseband processors, Quality of Service management, on chip regulator, Integrated WEP, TKIP, AES, and WAPI engines, 11 b/g/n. It has integrated TCP/IP protocol stack and Integrated PLLs, regulators, DCXO and power management units. It has +19.5dBm output power in 802.11b mode and Power down leakage current of <10uA

5.2 Bluetooth

Bluetooth is a wireless protocol. The recent introduction of Bluetooth with Low Energy extension is also as iBeacon. The advantage of BLE4.0 standard includes the low power consumption, which makes it a better option to be used in smart phones. This facilitates the setup of a mesh network of Bluetooth devices, with lower latency and higher range respect to standard Bluetooth.

This is a SMD BLE module based on TI cc2541 chip. It has low cost, small and easy to use. The preloaded firmware allows to build BLE communications with AT command. It supports communication with iPhone, iPad (iOS 5.0 or greater) and Android 4.3 or greater. It works on frequency: 2.4 GHz ISM band and modulation method is GFSK (Gaussian Frequency Shift Keying). It has transmission power: - DBM, 23-6 DBM, 0 DBM, 6 DBM, can be modified by the AT command. It works on baud rate 9600bps. It can operate on temperature range -40 ~ 125°C.

Another interesting board is the HC-05 Bluetooth module. Specifications of the works Master/Slave configurations. It operates on frequency of 2.4GHz ISM band with Modulation GFSK(Gaussian Frequency Shift Keying).

 Objectives
• Understand the meaning of the communication process.
• Learn the various types of communication.
• Explore different models of communication.
• Analyze how communication flows in different contexts.
Meaning of Communication Process
The communication process refers to the systematic steps through which a message is conveyed from a sender to a receiver. It involves the transmission of information through a medium, with feedback confirming whether the message has been received and understood correctly.
Elements of the Communication Process
The communication process consists of the following elements:
• Sender: The person or entity initiating the message.
• Message: The content or information to be communicated.
• Encoding: The process of converting the message into symbols, language, or signals that can be understood by the receiver.
• Medium/Channel: The pathway through which the message is transmitted (e.g., face-to-face, email, phone).
• Receiver: The person or entity for whom the message is intended.
• Decoding: The process by which the receiver interprets and understands the message.
• Feedback: The response of the receiver that indicates whether the message was understood

Abstract

During present investigation a comparative study was done to see the effect of storage on physical properties of tomatoes (Lycopersicon esculentum Mill) packed in HDPE and stored under ambient temperature. Four varieties of tomatoes taken for current investigation were Badshah, Himshikhar, NS-524 and Raja. From the studies it was clear that TSS increased gradually during storage duration for entire tomato varieties due to loss of some moisture from tomatoes. Variety NS-524 shows maximum shrinkage among all during observation period.

Introduction

Droughts are considered to be a significant environmental disaster and have captured the attention of various experts, including environmentalists, ecologists, hydrologists, meteorologists, geologists, and agricultural scientists. These natural calamities are known to occur in almost all climatic zones, regardless of whether they are high- or low-rainfall areas. Generally a decrease in the amount of precipitation received over an extended period such as a season or a year, is the primary cause of droughts. However, other factors such as high temperatures, strong winds, low relative humidity, and characteristics of rainfall (e.g., intensity, duration, onset, and termination) also play a crucial role in their occurrence. It’s important to distinguish a drought from aridity, which is a permanent feature of a climate and is limited to low rainfall areas (Wilhite, 1992). A drought is a temporary phenomenon and can last from a few months to several years. Some people often mistake droughts for heat waves, but Chang and Wallace (1987) highlighted the fundamental difference between these two events. A heat wave typically lasts for a week, while a drought can extend for several months or even years. When a heat wave and a drought coincide, it can lead to dire socio-economic consequences.

ABSTRACT

Academic libraries are unique, essential and strategic hubs inside our social cloth which are advanced primarily based totally at the requirements of the times, to help people in the purchase of good enough facts that could allow them to decorate their information, for the development in their wellness and that of the society at large. To attain their goal, they ought to generate, filter, control and diffuse correct and well timed human information which have been harvested and documented; for the purpose of enriching the highbrow needs in their clients. Like every other kind of library, academic libraries are growing organisms. Justification to the above statement has been captured aptly in the classic book of Ranganathan (1931) entitled ‘Five Laws of Library Science’; detailing the principles of the library profession. The philosophical postulation of Ranganathan’s fifth law is a classical position that offers much strength and support for the need to adequately plan for the best strategies to exhibit in academic library environments in order to provide effective services. In other words, the fore-stated law by Ranganathan has already signaled that academic librarians must be ready at all times to effectively satisfy the diverse, complex and ever-increasing information needs of their users from the explosive available information resources that spring on a daily basis. As such, addressing this issue would require a holistic management approach by academic libraries that must be internally efficient and externally effective.

INTRODUCTION
The engine is the core of a tractor, providing the essential power required for all its functions. Typically, a tractor engine is a four-stroke internal combustion engine that operates on diesel, although some models may use gasoline. The engine consists of several integral components that work together to generate power and ensure smooth operation. These parts include the cylinder block, which houses the cylinders where fuel combustion occurs; the pistons, which move within the cylinders to convert the energy from combustion into mechanical motion; and the crankshaft, which transfers the piston’s motion to the transmission. The valve system regulates the intake of air and fuel, as well as the exhaust of gases, ensuring efficient combustion. The fuel system, made up of the fuel tank, pump, and injectors, supplies fuel to the engine, while the cooling system, typically water-based, prevents the engine from overheating. Furthermore, the lubrication system ensures proper lubrication of all moving components to reduce friction and wear. The starter motor and battery are responsible for initiating the engine’s operation, and the exhaust system directs exhaust gases away from the engine. Together, these components enable the tractor to generate the power needed for a wide range of agricultural and industrial tasks.
A tractor engine is designed to deliver high torque at low speeds. It is an internal combustion engine that primarily operates on diesel, compressing and burning the fuel to generate mechanical motion. Due to the engine’s complex structure, it is composed of several key components. The following list outlines the major parts that make up a tractor engine:

Theory

Area computation is an important part of surveying. The term ‘Area’ is meant the projected area on a horizontal plane. The area is computed from the following methods: (i) Graphical method (ii) Instrumental method and (iii) Use of formulae. In graphical method, the area can be computed by dividing the whole area either into triangles or squares. The area of individual triangle is computed from base and the altitude and summation of individual area gives the total area. A tracing paper is divided into number of small squares is placed over the plan. The number of complete squares within the boundary is counted. The squares more than half are counted as full squares and those less than half are neglected. The total number of squares multiplied by the area of each square gives the total area of the field. In instrumental method, the planimeter is used to measure the area of a plotted plan. In use of formulae, computation of area by formulae depends on the shape of the field.

Introduction

In recent decades, severe weather and climatic occurrences have become more frequent, affecting human populations across the globe. These changes are caused, in part, by anthropogenic climate change. Vulnerable communities are particularly affected by these rapidly changing patterns, which can have catastrophic consequences. To mitigate the impact of climate change, communities must have access to accurate and up-to-date climate information. Weather predictions, from short-term forecasts to long-term scenarios based on data from previous decades and centuries, can provide valuable information to socioeconomic sectors that are vulnerable to climate change. Climate services offer scientifically-based data and forecasts that can assist decision-makers in managing the risks of climate variability and change. Globally accepted indices generated from daily temperature and precipitation data can indicate the more severe features of climate change. These indices are developed and analyzed by the CCI/WCRP/JCOMM Expert Team on Climate Change Detection and Indices (ETCCDI) and have made a significant contribution to the Intergovernmental Panel on Climate Change (IPCC) Assessment Reports.

Computer vision provides an important foundation for automated plant analysis, monitoring and precision agriculture. This chapter explores computer vision approaches for plant phenotyping, disease detection, growth monitoring and yield prediction. Traditional image-processing methods are considered alongside machine learning and modern deep learning techniques, including convolutional neural networks and vision transformers. Image segmentation, object detection and classification are used to extract meaningful information from plant images and video data. The chapter also examines multispectral and hyperspectral imaging, IoT integration and real-time monitoring. Environmental variability, dataset quality, computational complexity and model generalization are discussed, together with transfer learning, data augmentation, edge computing and future directions

Introduction

Agriculture has played an important role in the global economy in recent years. The further growth of the population is leading to a gradual decrease in the area of the agricultural land and further growing stresses on the farm system. Agricultural food production methods are rising in demand for successful and healthy. Innovative sensoring and motive technologies and advanced information and communications systems and Artificial Intelligence must supplement conventional agricultural management methods to speed up farm productivity growth more accurately, thereby promoting the production of high-quality and high-performance agriculture. Computer vision monitoring systems have become valuable tools in farm operations over the past decades, and their use has increased significantly.

What is Computer Vision?

Computer vision can be characterized as a field of AI for extracting information from digital images. The type of data obtained from an image may be different from recognition, navigational space measurements or applications of increased reality.

The applications of computer vision can also be described. Computer vision builds algorithms that recognize and use the quality of pictures for other purposes.

Introduction

A solar collector, the special energy exchanger, converts solar irradiation energy either to the thermal energy of the working fluid in solar thermal applications, or to the electric energy directly in Photovoltaic (PV) applications. For solar thermal applications, solar irradiation is absorbed by a solar collector as heat which is then transferred to its working fluid (air, water or oil). The heat carried by the working fluid can be used to either provide domestic hot water/heating, or to charge a thermal energy storage tank from which the heat can be drawn for use later (at night or cloudy days). Solar collectors are usually classified into two categories according to concentration ratios: non-concentrating collectors and concentrating collectors. A non-concentrating collector has the same intercepting area as its absorbing area, whilst a sun-tracking concentrating solar collector usually has concave reflecting surfaces to intercept and focus the solar irradiation to a much smaller receiving area, resulting in an increased heat flux so that the thermodynamic cycle can achieve higher Carnot efficiency when working under higher temperatures.