eChapters

Introduction

Agriculture is an important sector for countries like India, who have majority of its population, directly or indirectly depend upon agriculture. The sector which feeds the majority of population of any country needs special attention for its all round development. Marketing is such a crucial aspect related to agriculture that is probably not developed in any of such countries which largely depends upon agriculture. Underdeveloped and lack of resources are the main reasons behind the underdeveloped nature of agricultural marketing. In simple terms, agricultural marketing means the buying and selling of agricultural produce. The Indian council of Agricultural Research defined involvement of three important functions, namely assembling, preparation for consumption and distribution.

Introduction

Jackfruit (Artocarpus heterophyllus) is the largest edible fruit in the world. It is a seasonal fruit found in almost all the humid tropical regions of the world. It is very popular all over India and is believed to be of Indian origin. Flesh of jackfruit is starchy and fibrous and is a source of dietary fiber. Varieties are distinguished according to characteristics of the fruit’s flesh. In Kerala, two varieties of jackfruit predominate: varikka and koozha. Varikka has a slightly hard inner flesh when ripe, while the inner flesh of ripe koozha fruit is very soft and almost dissolving. Strong aroma of the fruit accounts popularity of its processed products. Each year, approximately 30-50% of the total harvested fruit is spoiled because of lack of post-harvest processing in India

Jackfruit has more protein, calcium, thiamine, riboflavin and carotene than banana. Edible bulbs of ripe jackfruit are consumed for their fine taste and pleasant aroma. The fibre content helps to protect the colon mucous membrane by decreasing exposure time as well as binding to cancer-causing chemicals in the colon. Fresh fruit has small amounts of carotenoid and flavonoid pigments such as ß carotene, xanthin, lutein and cryptoxanthin-ß. Together, these compounds play vital roles in antioxidant and vision functions.

Executive summary

The enclosed project report envisages the setting up of a modern rice mill complex with attached parboiling facilities having an average processing capacity of 16 MT of paddy per day. The initial investment of the project is estimated to be Rs 480.17 lakhs. Sales Realization is assumed as constant for all the 7 years; amounted Rs 1129.2 lakhs. Pay Back Period for the project is estimated as somewhat more than 3 years. Internal Rate of Return for the project is 31%. Net Present Value is Rs.367.92 lakhs which is a positive value. It indicates that present value of cash inflows is greater than present value of cash outflows. Projected working results of the project throws light on its viability.

1. Which of the following states has nutrient use of < 100 kg/ ha?

(a) Madhya Pradesh                (b) Karnataka

(c) West Bengal                       (d) Uttar Pradesh

2. Which of the following is the leading state in maize production

(a) Bihar                                   (b) Uttar Pradesh

(c) Punjab                                (d) Gujarat

Rivers are the most important system for water, for irrigation and human settlement. Historically, civilizations always nucleated near rivers, and latter also had social and religious significance. Rivers in India are considered holy and play the most important part in the lives of people, fauna & flora and the future environmental system. The Ganga Basin is the largest river basin in India which includes the Ganga, the Yamuna, the Ghagra, the Gandak, the Kaveribasin etc. Compared to these, the Vishwamitri River, situated between Mahi River in North and Narmada River in South in Central Gujarat is a small seasonal river but it is very important for the city of Vadodara and Central Gujarat region. This seasonal river originates from Pavagadh hills and flows east to west. It is a typical small river with the kind of problems in most rivers in India and other countries – liquid and solid wastes, enouncements, blocking of water ways, floods in monsoon months and dry dumping basin during most other months etc.
RIVERS & THEIR REVIVAL
River basin planning and watershed management were the centerpieces of water resource planning at the dawn of the era. For most of the century, however, natural resource policies and pressures led to watershed degradation. Today, the resources value of watershed ecosystems are being rediscovered. Watershed management reflects the recognition that we can only sustain biodiversity by managing the future ecosystem.
VISHWAMITRI RIVER
In a well researched book ‘Vishwamitri Mahatmyam’ edited by Thaker of oriental Institute – Vadodara the history, glory and mythological details of the ancient river Vishwamitri has been brought out. It is said that the river

Rivers are the most important system for water, for irrigation and human settlement. Historically, civilizations always nucleated near rivers, and latter also had social and religious significance. Rivers in India are considered holy and play the most important part in the lives of people, fauna & flora and the future environmental system.

The Ganga Basin is the largest river basin in India which includes the Ganga, the Yamuna, the Ghagra, the Gandak, the Kaveri basin etc. Compared to these, the Vishwamitri River, situated between Mahi River in North and Narmada River in South in Central Gujarat is a small seasonal river but it is very important for the city of Vadodara and Central Gujarat region. This seasonal river originates from Pavagadh hills and flows east to west. It is a typical small river with the kind of problems in most rivers in India and other countries – liquid and solid wastes, enouncements, blocking of water ways, floods in monsoon months and dry dumping basin during most other months etc.

We visited The Model Sea Farm Project under the Royal Initiative of Her Majesty Queen Sirikit on 10/10/2023 at 1 pm It is a government farm located at Phetchaburi Coastal Aquaculture Research and Development Center. The purpose of the visit was to learn more about seaweed production and zero waste aquaculture system.

1) Sea ranching

Species used for sea ranching was Banana shrimp (Fenneropenaeus merguiensis). 2 months old shrimps were collected from tank and used for ranching

Assumptions

    ·    Freshly calved animals in 1st or 2nd lactation are purchased in two batches of five animals each at an interval of 5 to 6 months.

    ·    Cost of rearing calves not considered as it will be nullified by their sale value or retention value.

    ·    Fodder cultivation considered in two acres and working capital for one crop / season considered. Two crops considered per year.
 
    ·    Manure is utilized for fodder cultivation.

Modeling phytonematodes is helpful in the investigation of several host plant interactions and may yield useful information to be exploited in the integration of management strategies and biological control. Modeling the phytonematodes density changes in a soil/root microcosm may allow the identification of main factors active in such systems (Ciancio et?al?, 2022). The multiple tri-trophic interactions linking roots, phytonematodes and antagonists, however, originate a very complex system. It requires knowledge about the many parameters describing the nematode life stages, the interactions with the antagonistic organisms present in the microcosm, as well as their capabilities for effective and durable host regulation. Descriptive variables should also account for the effects of roots and of other environmental factors at work in the tri-trophic interaction system. Models may provide benefits, including the possibility of identifying the best moment for the inoculation of a biocontrol agent, the optimal amount of its inoculum applied to maximize its biocontrol efficacy, as well as the possibility to simulate and thus investigate its behavior once introduced in soil.

Abstract

The increasing interest in polyphenolic compounds in industries has led to the exploration and exploitation of rich bio-compounds from natural sources, essentially plants and their by-products. Solid-liquid extraction is mostly applied for the recovery of these valuable compounds from plants. Since the extraction process is often difficult in a fresh matrix, a drying operation is needed to reduce the moisture content, and preserve the targeted valuable compounds. An uncontrolled drying operation will lead to product damage and hence, loss in quality, reason why, several studies have been carried out to understand and control the drying process. The present chapter aims to present some data on drying for bioactive compound recovery from plants and their by-products, mainly polyphenolic compounds. Our main interest is the mathematical tools used to model the drying process.

Abstract

There are several empirical models to describe deep bed drying dividing the domain into many thin layers. Empirical equations are seen as a resource that only serves to describe the thin layer drying kinetics of an agricultural product. Normally an empirical model is used to determine drying rate. The validity of following thin-layer drying models are accounted by coefficient of correlation (R2), standard error of estimated (SEE), root mean square error (RMSE). The properties of dried foods vary substantially depending upon the type of product, moisture content, drying type and ultimately drying conditions. To take care all above variables, a promising approach is to use Artificial Neural Network (ANN). In process control, the main objectives are food safety, high quality and yield at minimal costs. To obtain high quality products, on-line control techniques are required. Most food processes are highly nonlinear, with time varying dynamics, which complicates food automation. However, the recent developments in artificial intelligence based advanced control tools such as ANN to food processing have opened up novel possibilities for processing industries.

The UNFCCC (United Nation Framework Convention on Climate Change) has defined climate change as “a change in climate which is attributed directly or indirectly to human activity that alters the composition of global atmosphere which is in addition to natural climate variability” (UNFCCC, 2008). Ruminant animals, such as cattle, sheep, buffalo, and goats, are unique due to their special digestive systems which can convert otherwise unusable plant materials into nutritious food and fiber. This same helpful digestive system, however, produces methane (CH₄), a potent green house gas (GHG) that can contribute to global climate change. Livestock production systems can also emit other greenhouse gases such as nitrous oxide (N₂O) and carbon dioxide (CO₂). The most important GHG?s are CO₂, CH₄ and N₂O, which have increased in the last 150 years and have different global warming potential. According to Sejian et al., (2011) and Solomon et al., (2007), the warming potential of CO₂, CH₄ and N₂O are 1, 25, and 310, respectively. Taking into account the entire livestock commodity chain – from land use and feed production, to livestock farming and waste management, to product processing and transportation –Livestock?s Long Shadow attributes about 18 percent of total anthropogenic GHG emissions to the livestock sector (FAO, 2006). The Intergovernmental Panel on Climate Change (IPCC), convened by the United Nations, has reported evidence that human activities over the past 50 years have influenced Global Climate through the production of GHG, which results in increased absorption in the atmosphere of infrared radiations emitted from the earth?s surface. The accumulation of GHG results in increased global temperature which in turn can increase annual precipitation in high rainfall regions and decrease precipitation in regions of low rainfall (Gerstengarbe and Werner, 2008). This will affect water supplies, distribution of deserts and wet areas, the range and number of pests that affect plants or diseases and biodiversity.

Abstract

Prediction of the occurrences of Landslides requires a set of complex analyses, involving multitude of factors which are to be studied systematically in order to evaluate the landslide vulnerability. The increasing availability of computer-based tools and data storage capabilities are found to be useful in landslide vulnerability mapping. One such significant tool in landslide studies is Geographic Information System (GIS). In this article some approaches were made to model the land slide hazard for Sirumalai Hills, Dindigul District, Tamil Nadu, India using Geographical Information Systems and the same is presented in this paper.

Introduction

Climate variability can have significant impacts on agricultural production, affecting both the demand and supply sides of farming. As climate change continues to negatively impact our ecosystem, food production, and human livelihood, this topic has gained widespread attention from researchers and academics worldwide. Given that agriculture is highly dependent on factors such as precipitation and temperature, it is considered one of the most climate sensitive sectors (Sagar et al., 2022).

Climatic data is complex and nonlinear, with significant fluctuation across time components, resulting in greater volatility. This means that stochastic climatic variables, including rainfall, temperature, relative humidity, and other weather parameters, often exhibit conditional heteroscedasticity, leading to irregular residual mean and variance across time series.