The objective of this present study is to scrutinize the challenges in implementing PPP by examining the factors that hinder the successful adoption of PPP in Malaysia. A questionnaire survey was used to elicit the perceptions of the public and private sectors concerning the constraints of PPP implementation in Malaysia. A total of 122 usable responses were obtained.
This paper presents empirical evidence on the effects of information asymmetry in input markets on the adoption of innovations and agricultural land use in rainfed districts of Khyber Pakhtunkhwa, Pakistan. Farmers’ input market integration may contribute to innovation and adoption among farmers, which may in turn positively influence the sustainable use of agricultural land. To examine this hypothesis, was conducted a study with farmers and input providers to assess the potential constraints on quality inputs, prices, and extension information.
This paper presents a case study of a machinery manufacturer in Bangladesh producing 2WT. The study aims were to identify ways to increase machinery manufacturers’ capacity while improving manufacturing operations and workplace safety through equipment selection, workshop layout, and usability. As a locally-owned, small-scale agricultural machinery manufacturer in Bangladesh, Janata Engineering (JE) is representative of many small-scale and emerging machinery manufacturing enterprises in South Asia
This study refines the participatory management (PM) in agricultural extension education (AEE) by adopting a multidimensional approach. PM is a process where extension agent (EA) tries to provide a good situation for AEE and share significant degree of power with their farmers. The data were obtained from samples of 290 Iranian farmers in Torbat Heydarieh, Iran. Methodology was descriptive and correlation. There was directly and a statically significant relation between all of components of PM regarding in effective AEE. The PM is a panacea for improving the AEE.
Rainfed agriculture with nearly 58% of the cultivated area is home to about 40% of human and 60% of livestock population in India and contributes 40% of the country's food production. Even after full realizing the full irrigation potential of the country, half of the cultivated area will continue to be under rainfed farming which highly dependent on monsoon rainfall. It is widely believed that increasing rainfall variability is likely to affect the livelihoods of millions of small and marginal farmers in the years to come.
The Farmer Business School (FBS) is a participatory, action learning process focused on product and business development, and like the Farmer Field School, is a complex, multi-dimensional innovation with the potential to benefit large numbers of farming households economically, socially and institutionally. Scaling this approach requires rethinking both innovation and scaling.
There is great untapped potential for farm mechanization to support rural development initiatives in low- and middle-income countries. As technology transfer of large machinery from high-income countries was ineffective during the 1980s and 90s, mechanization options were developed appropriate to resource poor farmers cultivating small and scattered plots. More recently, projects that aim to increase the adoption of farm machinery have tended to target service providers rather than individual farmers.
Evaluation provides effective feedback for development plans and programs. In this respect, it is of utmost importance to ensure that the outputs of agricultural extension and education projects are compatible with the ones expected. Therefore, the main purpose of this study was to evaluate agricultural extension model sites approach from actors’ perspectives and to analyze their gaps via the context, input, process, and product (CIPP) evaluation model.
There is increasing demand for institutional reform in the agricultural sciences. This paper presents lessons from the content and directions in soil science research in India, to make a case for institutional reform in the agricultural sciences. It demonstrates how existing institutional and organizational contexts shape the research content of the soil sciences and its sub-disciplines. These contexts also shape the capacity of the soil sciences to understand and partner with other components of the wider natural resource management (NRM) innovation systems.
Plants are susceptive to various diseases in their growing phases. Early detection of diseases in plants is one of themost challenging problems in agriculture. If the diseases are not identified in the early stages, then they may ad-versely affect the total yield, resulting in a decrease in the farmers' profits. To overcome this problem, many re-searchers have presented different state-of-the-art systems based on Deep Learning and Machine Learningapproaches. However, most of these systems either use millions of training parameters or have low classificationaccuracies.