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Crop suitability analysis is vital for identifying a piece of land’s potential for sustainable crop production and aids in the formulation of an effective agricultural management plan. This study aims to conduct crop suitability analysis of prominent Kharif (rice and maize) and Rabi (potato and wheat) crops in Sirajganj district, a flood-prone area of Bangladesh, and recommend a suitable cropping pattern to mitigate the detrimental effects of flooding.

Various factors such as soil drainage, soil depth, soil moisture, soil texture, soil permeability, soil pH, erosion hazard, nutrient status and flooding risk were considered for this study. For all four crops, the weights of each factor were determined using the analytical hierarchy process approach, and the scores of each subfactor were assigned on the basis of favorable circumstances of crop cultivation. Using the weighted overlay analysis in the ArcGIS 10.3 environment, the crop suitability maps were generated and were divided into four suitable classes. Geographic information system integration of crop suitability for all the crops determined the suitable cropping pattern of the study area in Kharif and Rabi seasons.

A vast portion of the study area covering 64.80% of the total land is suitable for cultivating either rice or maize in Kharif season followed by either potato or wheat in Rabi season. Other suitable cropping pattern for Kharif and Rabi seasons found in the study area are rice-wheat, rice-wheat/potato, rice/maize-wheat and rice/maize-potato, which covers a little portion of the study area.

This research validates the suitable location of crop cultivation on the basis of flooding occurrences in the locality.

In low-income economies agriculture plays an important role in promoting economic growth and reducing poverty. Agricultural growth achieved through diversification toward the higher value crops enhance income and mitigate risk. The present study focuses on one of the eastern Indian states namely “Jharkhand”; where agriculture is the mainstay for the 80% of its rural population. The state per-capita income is below the national average; however, it has registered an impressive growth, especially in the agriculture sector in the last one decade. In this study, the authors attempt to identify the components in sources of agricultural growth; the authors also estimate the determinants of overall agricultural growth.

The study is based on the secondary data from 2000–2001 to 2015–2016. This paper first decomposes the agricultural growth into area, price, yields (technological improvement) and diversification effects through the method of growth accounting approach. Secondly, the study employs the new classical growth model through the ordinary least square (OLS) to examine the determinants of overall agricultural growth.

The author's findings indicate that there has been a shift in cropping patterns from the cultivation of cereals to non-cereals in the state during the study period. Among the major crops, the area under pulses cultivation has increased by 19% from 2000–t2002 to 2014–2016. The increase in area under cultivation and the diversification in favor of higher-value crops have been the major reasons for the accelerating overall agricultural growth in the state along with improvements in technology. The study reveals that increased use of fertilizer per hectare, capital formation and road density are the main determinants of high agricultural growth in the state.

The study is based on secondary data and based on one state. A primary study to complement this could have been better. The limited data available for some of important variables related to mechanizations are also a limitation of the present study.

Several studies have analyzed the diversification and agricultural growth in India. With our best knowledge this kind of study has not been done so far for the state of Jharkhand in eastern India.

The purpose of this paper is to investigate and develop a full-cycle teak (Tectona grandis) under stand cropping system or PLDT for sustainable livelihoods of forest village community in Indonesia.

An experimental analysis was used, and the population consisted of units of land of the Community-based Forest Management (in Indonesian called Pengelolaan Sumber Daya Hutan berbasis Masyarakat – PHBM) cultivated by 67 farmers. Further, farmers, the board of Forest Village Community Institution (in Indonesian called Lembaga Masyarakat Desa Hutan – LMDH), and forestry officials were also involved. The method employed was a survey approach using forest mapping result as the primary data. Secondary data were obtained from the LMDH and PHBM documents, measurement of physical conditions, model plots, and focus group discussion.

Findings reveal that replacing polycultural cropping system with sequential cropping one is useful in improving farmers’ income. It was proven that the products of polycultural cropping contribute only 61.23 percent of proper income. Meanwhile, through the right selection of species of shade-tolerant crops and sequential cropping the contribution can be increased to 85.28 percent: an increase of more than 24 percent. This shows that PLDT is reliable for implementation by using certain seasonal plants and cropping pattern. Next, this research limits itself to an area having teak forest, and its practical implication is to provide an alternative way for generating income and food availability.

This paper is original and has unique value because it discusses issues related to seasonal plantation grown under long-circle crops for a better living condition. The proposed plant is environment-friendly and could possibly be applied to areas having teak forests.

The purpose of this paper is to identify the trends in crop diversification (CD) while examining its impact on the technical efficiency of peasant farmers in Nigeria.

The paper employs the Herfindahl and Ogive indices to compute the diversification indices and the stochastic frontier production model (SFPM) to estimate the technical efficiency (TE) level of the farms using unbalanced panel data covering three farming seasons (2006/2007 to 2008/2009).

The results of both the Herfindahl and Ogive indices showed that cropping pattern increased significantly with the intensification of crop diversification in the study across the three seasons. The result of the SFPM shows evidence of decreasing returns‐to‐scale and technical progress in the food crop production in the region. Education, extension, and CD are identified as efficiency increasing policy variables while an average TE level of about 81 percent was obtained from the analysis.

To the best of the author's knowledge, this the very first study that employs panel data to analyze technical efficiency of farms in Nigeria.

The purpose of this paper is to investigate farmers’ risk aversion using the equally likely certainty equivalent approach and the negative exponential utility function to identify risk preference classification.

Stochastic efficiency with respect to a function is applied to determine the risk efficient farming systems for the farmers in central and north-east regions of Thailand.

The study results showed that maize followed by sorghum is the most risk efficient farming system for the extremely risk averse rain-fed farmers in the central region of Thailand. Intensive planting of wet rice and dry rice cultivation is preferred by the extremely risk averse central region irrigated farmers. Wet rice and cassava together with raising small herd of cattle is the most economically viable farming system for the extremely risk averse rain-fed farmers in the north-east region, while two rice crops with raising cattle is preferred by the extremely risk averse north-east irrigated farmers of Thailand.

The findings of this study provide useful information to reinforce the empirical basis for risk analysis for Thai farmers. The results will provide more accurate information regarding risk at the farm level to policy makers and researchers.

The purpose of this paper is to emphasize the conservation and management of crop diversity in traditional agro‐ecosystems as a crucial component for sustainable landscape development in the mountains of the Indian Himalayan region. The results indicate that mountain farming has the potential to produce good output from a low input system where farmers still use local resources and locally developed technology.

The discussion of major issues in this paper is based on our empirical study involving a survey of the area and field‐based experiments to evaluate the productivity in traditional mountain farming systems. Additionally, landscape change was monitored with the use of satellite data.

The paper finds that the rate of genetic erosion within the study area during the last three decades is documented and the factors responsible for such erosion identified. The efficiency of traditional agro‐ecosystems of Himalayan Mountains in terms of energy and monetary value is presented. Traditional crop cultivation in the region appears efficient from the viewpoint of ecology of the area and economy of the local people.

This paper recommends practical options to encourage cultivation of traditional crops for their conservation and management in the Himalayan agro‐ecosystems that will lead to sustainable landscape development in these mountains. Traditional agro‐ecosystems are characterized by their dependence on local resources, close links to the surrounding forests, and locally developed technologies in the Himalayas of India. Research and policy support for their conservation in traditional agro‐ecosystems in this region is required as many traditional crops and their landraces are in jeopardy due to their rapid genetic erosion in the region. The land use land cover map developed within this study enables observation of the process of the landscape change trends in the region. Local communities need proper awareness and encouragement through appropriate research, institutional and policy support to continue growing traditional crops for both their economic incentives and management of the ecosystem services.

The paper shows that traditional crop diversity can enhance the economic conditions for people without having negative implications on the surrounding landscape.

The purpose of this paper is twofold: first, to estimate the water demand elasticities using a parametric linear programming (LP) model to provide an insight into the accurate and flexible pricing policy of irrigation water in the Jordan Valley; and second, to highlight key risk aspects, related to water demand, which are likely to impact the community.

A parametric LP model was used in this research. Primary and secondary data were collected.

Results revealed that the demand elasticity is high in Spring and Summer than in Fall and Winter, meaning that during Spring and Summer farmers are willing to forgo larger amounts of water than in other months. This is because of areas planted during Spring seasons are much less than those of Autumn and Winter.

The Jordan Valley suffers from water scarcity risk, and consequently the area to be planted is not fully utilized, leading to lower cropping intensities. Responsible authorities in Jordan need to address these issues and propose proper solutions in order to reduce further escalation of this risk and subsequent impact on local communities. Insight into the value of water demand elasticities is essential to support and mitigate policy decision making under risk conditions, concerning investments in water supply systems; investments in the water distribution and irrigation systems; efficient allocation of water with competing sectors; setting water pricing and tariffs; setting cost recovery mechanisms, and the risks encountered under lack of mitigated policy decision making.

This is one of few studies that addresses in detail using a parametric LP model the issue of water scarcity, related risks and subsequent impact on society in Jordan. It is expected to help policy and decision makers better formulate future estimates and demand which subsequently reduce related risks.

Climate change negatively affects agricultural crop production in the dry zone region of Myanmar. This paper aims to examine climate change adaptation strategies of farmers in the dry zone region. Farmers’ choice for adaptation strategies is influenced by many factors such as the practical availability and by socioeconomic conditions of the farmers. They are moreover influenced by the perception about climate change and by the specific problems prevailing in the farming systems.

This research is carried out in Magwe district in the dry zone region of Myanmar using a random selection of 212 farmers from three Townships (Magwe, Yenanchaung and Chauk). A multinomial logistic regression (MLR) was applied to assess the factors affecting the choice by farmers for adaptation strategies.

The study found that in the past, farmers used to apply locally available indigenous climate change adaptation strategies. However, recently, most farmers seem to have shifted to introduced adaptation strategies. The most popular adaptation strategy is to adjust the planting dates and sowing method (56.1 per cent). Furthermore, farmers identified a number of barriers that limit the adoption of adaptation methods. Risk is found to be an important driver of crop diversification. Finally, the MLR model showed that information from radio, access to seeds and extension services affect the choice of adaptation strategies.

The study shows that adoption of locally available indigenous climate change adaptation methods is gradually decreasing, and there is a shift to introduced adaptation strategies. The study can assist public and private organizations to obtain insight in the determinants of climate change adaptation in the dry zone region of Myanmar.

Reports that while overconsumption of the world’s natural resources is a problem in developed nations, it is population growth and biological resource depletion that are the bane of developing nations. Uses India as an example for discussing biodiversity, natural resource issues and ecosystem function in an Asian context. Examines the linkages between ecological and social processes when humans are integrated within the structural and functional attributes of the ecosystem. Suggests a holistic approach for the rehabilitation and sustainable development of rural systems, so conserving biodiversity and natural resources.

Researchers and policymakers are figuring out the adaptation technologies to cope with the changing climate. Adaptation strategies for crop production followed by the farmers at selected study locations had ranged from 6-30 per cent only, and this was mainly due to lack of awareness about the actual cost associated with adaptation and non-adaptation of these strategies.

Hence, this study aims to address the cost of adaptation for rice using joint probability distribution of rainfall and crop prices.

Cost of adaptation varied from INR2,389 to 4,395/ha for System of Rice Intensification (SRI); INR646 to 1,121/ha for alternate wetting and drying (AWD) and INR8,144 to 8,677/ha for well irrigation (WI), whereas expected cost for not using these technologies has ranged from INR6,976 to 9,172/ha for SRI; INR4,123 7,764/ha for AWD and INR10,825 to 17,270/ha for WI. Hence, promotion of the adaptation technologies itself will minimize the income losses to the farmers.

Even though, there are many ways for farmers (other than technology), to adapt to climate change (such as out-migration to cities, selling farm assets, focus on children’s education, etc.), this report, given the framework of the major research study undertaken, addresses only farm-level adaptation of the technologies to enhance farm income.

Public–private partnership in providing the technologies at cheaper costs, capacity building in handling the technologies and creating awareness about the technologies to minimize the expected cost of adaptation are suggested to improve the adoption level.