Environmental and Agricultural Informatics
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9781522596219, 9781522596226

Author(s):  
Samia Nadeem Akroush ◽  
Boubaker Dhehibi ◽  
Aden Aw-Hassan

This article develops new estimates of historical agricultural productivity growth in Jordan. It investigates how public policies such as agricultural research, investment in irrigation capital, and water pricing have contributed to agricultural productivity growth. The Food and Agriculture Organization (FAO) annual time series from 1961 to 2011 of all crops and livestock productions are the primary source for agricultural outputs and inputs used to construct the Törnqvist Index for the case of Jordan. The log-linear form of regression equation was used to examine the relationship between Total Factor Productivity (TFP) growth and different factors affecting TFP growth. The results showed that human capital has positive and direct significant impact on TFP implying that people with longer life expectancy has a significant impact on TFP growth. This article concludes that despite some recent improvement, agricultural productivity growth in Jordan continues to lag behind just about every other region of the world.


Author(s):  
Nira Ramachandran

Despite unprecedented technological breakthroughs and rising incomes, the most basic human requirement–food security remains out of reach of many. The countries of Africa are the worst affected, and consistently score lowest on the Global Hunger Index. The downside of technological advance and increasing urbanisation is the decrease in cultivable land and water availability exacerbated by climatic unpredictability. While concerted efforts are on to control the crisis, it is time to take positive action and capture technology to boost food security. Genetically Modified (GM) crops engineered to be drought/flood resistant, reduce pesticide requirements or provide vitamins open up tremendous possibilities for enhancing food and nutrition security and counteracting negative environmental impacts. This paper reviews the current status of GM crops in Africa, the scope for expansion, possible impacts on food security and the validity of existing concerns about bio-safety and farmers' needs in the light of developing country experience.


Author(s):  
Rohit Joshi ◽  
Sudhanshu Joshi

The purpose of the paper is to gain an insight into the current status of farmers' awareness and practices towards maintaining the postharvest cold chain. The related hypotheses are developed and tested. The major findings include- marginalized and small farms, literacy and poor awareness level are the main causes for the backwardness of Indian farmers. Also, lack of funds forces farmers to ignore the use of cold storage. Further, multi-intermediaries and fluctuating consumer prices result farmers in not getting fair share of the consumer rupee. One of the major challenges in front of fresh food industry in India is to reduce postharvest losses across the chain through increasing awareness level of famers towards cold chain, building market information systems to assist farmers in decision-making and improving food safety and quality of farm produce available in the market.


Author(s):  
Johanna Lindahl ◽  
Bernard Bett ◽  
Timothy Robinson ◽  
Delia Grace

Rift Valley fever is a severe disease affecting both humans and animals. The Rift Valley fever virus can be transmitted by body fluids, and the most common way for humans to get infected is from animals. The virus is also vector-borne and can be transmitted by many species of mosquitoes. As with other vector-borne diseases, the epidemiology may vary in response to environmental changes. Here the effects of climate and land use changes on Rift Valley fever, as well as on other vector-borne diseases, are discussed. The effect of irrigation in East Africa on inter-epidemic transmission of RVF is discussed in greater detail, followed by recommendations for future research and actions.


Author(s):  
Bila-Isia Inogwabini

Rainfall time series data from three sites (Kinshasa, Luki, and Mabali) in the western Democratic Republic of Congo were analyzed using regression analysis; rainfall intensities decreased in all three sites. The Congo Basin waters will follow the equation y = -20894x + 5483.16; R2 = 0.7945. The model suggests 18%-loss of the Congo Basin water volume and 7%-decrease for fish biomasses by 2025. Financial incomes generated by fishing will decrease by 11% by 2040 compared with 1998 levels. About 51% of women (N= 408,173) from the Lake Tumba Landscape fish; their revenues decreased by 11% between 2005 and 2010. If this trend continues, women's revenues will decrease by 59% by 2040. Decreased waters will severely impact women (e.g. increasing walking distances to clean waters). Increasing populations and decreasing waters will lead to immigrations to this region because water resources will remain available and highly likely ignite social conflicts over aquatic resources.


Author(s):  
Rakhi Arora

Commodity market is a fast paced dynamic market with liquidity and Commodity Exchange providing a platform for trading in various agri and non agri commodities at nationalized exchanges for discovering the price of agricultural goods in India since 2003. This also provides an opportunity to farmers, manufacturers or individuals for hedging and arbitrage to minimizes the losses due to fluctuations in the futures as well as spot prices. Though the Government has taken many steps time to time to control the prices of listed commodities by imposing restrictions like imposing daily margin limits and banning futures trading in speculative commodity/commodities if required but it is still being questioned. This chapter emphasizes on the working of the National Level Commodity Exchanges in India in general, the share of major agricultural commodities traded across National Level Commodity Exchanges in India, the marketing mix for agricultural commodities in India and the benefits and challenges of commodity futures derivatives for investors in India.


Author(s):  
Ghulam Murtaza ◽  
Muhammad Saqib ◽  
Saifullah ◽  
Muhammad Zia-ur-Rehman ◽  
Muhammad Naveed ◽  
...  

The Indus Plains of Pakistan are situated in arid to semi-arid climate where monsoon rains are erratic and mostly fall in the months of July and August. These rains are not only insufficient to grow even a single crop without artificial irrigation but also cause flood havoc very frequently that is associated with the climate change. The Indus river transports water for agriculture, industry and domestic usage within the basin and downstream. The Indus Basin is among the few basins severely affected by global warming and resulting climate change. The alteration in temporal and spatial patterns of rainfall has resulted in unexpected drought and floods. About 70 to 80% of total river flows occur in summer season due to snow melt and monsoonal rainfalls. Lack of storage reservoirs has decreased the ability to regulate flood water as well as its potential use during the drought season along with cheap hydro-electricity generation. The sedimentation in the system has limited the storage capacity of the existing three reservoirs by 28%. Consequently carry over capacity of these storage structures is only 30 days compared to 120 to 220 days in India and 900 days in Colorado Basin. Pakistan is facing shortage of good quality water due to competition among agricultural and non-agricultural sectors, this scenario will continue rather will further aggravate in future. According to the climate change scenario, the warming is reflected in the river-flow data of Pakistan, especially during the past 2-3 decades. To bridge the gap between fresh water availability and demand, ground water is being pumped to meet the irrigation requirements of crops. The pumped ground water (70-80%) is brackish and could become a sustainability issue in the long run. The prolonged agricultural uses of such water will deteriorate soils, crops and human living environments. Water quality parameters usually considered include electrical conductivity (EC) for total soluble salts, and sodium adsorption ratio (SAR) and residual sodium carbonate (RSC) reflect the sodicity hazards. In order to limit or even to eliminate adverse effects of such waters, certain treatment and/or management options are considered as important pre-requisites. For bringing down high concentration of total soluble salts, dilution with good quality water is the doable practice. To decrease high SAR of irrigation water, a source of calcium is needed, dilution (with good quality water) will decrease SAR by the square root times of the dilution factor, while use of acids will be cost-intensive rather may adversely impact the soil health. For high RSC, dilution with low CO32-+HCO3- water will serve the purpose, addition of Ca-salts will raise Ca2++Mg2+ to bring a decrease in water RSC, while acids will neutralize CO32-+HCO3- to lower water RSC. Gypsum is the most economical and safe amendment while acids could also decrease RSC but at higher relative cost. City wastewater and seed priming in aerated gypsum solution is also presented. Such practices at small and/or large scale surely will help a lot to sustain the food security and the environment in the days to come where climate change has to be experienced round the world. Therefore, a well-coordinated program is necessary to create awareness among different sections of the society including the policy makers, general public, organizations, industrialists and farmers.


Author(s):  
Siddesha S ◽  
S K Niranjan ◽  
V N Manjunath Aradhya

Arecanut is an important cash crop of India and ranks first in the production. Arecanut crop bunch segmentation plays very vital role in the process of harvesting. Work on arecanut crop bunch segmentation is of first kind in the literature and this chapter mainly focuses on exploring different color segmentation techniques such as Thresholding, K-means clustering, Fuzzy C Means (FCM), Fast Fuzzy C Means clustering (FFCM), Watershed and Maximum Similarity based Region Merging (MSRM). The effectiveness of the segmentation methods are evaluated on our own collection of Arecanut image dataset of size 200.


Author(s):  
Shitala Prasad

In human's life plant plays an important part to balance the nature and supply food-&-medicine. The traditional manual plant species identification method is tedious and time-consuming process and requires expert knowledge. The rapid developments of mobile and ubiquitous computing make automated plant biometric system really feasible and accessible for anyone-anywhere-anytime. More and more research are ongoing to make it a more realistic tool for common man to access the agro-information by just a click. Based on this, the chapter highlights the significant growth of plant identification and leaf disease recognition over past few years. A wide range of research analysis is shown in this chapter in this context. Finally, the chapter showed the future scope and applications of AaaS and similar systems in agro-field.


Author(s):  
Berrin Kurşun ◽  
Bhavik R. Bakshi

The applicability of emergy analysis (EA), a nature oriented thermodynamic analysis technique, as a regional sustainability assessment tool is explored in the context of an Indian village (Rampura). EA provides information about how much environmental support is required, system renewability, system efficiency, load of system to environment and dependency of system on external resources (self-sufficiency). The results of Rampura analysis reveal that sustainability is achieved neither at village level nor at subsystem levels. The chapter shows that the effective use of the renewable local resources can reduce the dependence on external resources and increase self-sufficiency and sustainability


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