In Ghana over 70% of people who are employed in the agricultural sector are smallholder farmers' living in less developed communities engaging in rudimentary agriculture. Climate change poses a serious threat to smallholder farmers which impacts on their income, food security and wellbeing. Climate information could be a vital resort for smallholder farmers' adoption of climate smart adaptation strategies in order to better manage climate risk. This study is aimed at investigating factors that influence smallholder farmers' joint decision to access climate information as well as adopt climate smart adaptation practices in the Northern Region. Data used was collected from a cross-sectional survey of 475 smallholder farmers'. The joint decision of smallholder farmers to access climate information and also adopt climate smart adaptation practices was analysed by using bivariate probit regression model. The econometric estimates reveal that age, household size, farm income, access to agricultural extension services and assets are the key drivers of smallholder farmers joint decision to access climate information and adopt climate smart adaption practices. Government, district assemblies and non governmental organisations supporting smallholder farmers’ adoption of climate smart adaptation strategies in order to overcome climate risk should also assist in the accessibility of climate information since they complement one another. Smallholder farmers literacy and knowledge level should be increased through non-formal and informal educational programmes, and extension education using the farmer-field schools method.

The demand for mobile applications in agriculture is increasing as smartphones are continuously developed and used for many purposes; one of them is managing pests and diseases in crops. Using mobile applications, farmers can detect early infection and improve the specified treatment and precautions to prevent further infection from occurring. Furthermore, farmers can communicate with agricultural authorities to manage their farm from home, and efficiently obtain information such as the spectral signature of crops. Therefore, the spectral signature can be used as a reference to detect pests and diseases with a hyperspectral sensor more efficiently than the conventional method, which takes more time to monitor the entire crop field. This review aims to show the current and future trends of mobile computing based on spectral signature analysis for pest and disease management. In this review, the use of mobile applications for pest and disease monitoring is evaluated based on image processing, the systems developed for pest and disease extraction, and the structure of steps outlined in developing a mobile application. Moreover, a comprehensive literature review on the utilisation of spectral signature analysis for pest and disease management is discussed. The spectral reflectance used in monitoring plant health and image processing for pest and disease diagnosis is mentioned. The review also elaborates on the integration of a spectral signature library within mobile application devices to obtain information about pests and disease in crop fields by extracting information from hyperspectral datasets. This review demonstrates the necessary scientific knowledge for visualising the spectral signature of pests and diseases using a mobile application, allowing this technology to be used in real-world agricultural settings.

Persistent climate impacts in Malaysia pose severe difficulties for smallholder farmers, whose livelihoodsare primarily dependent on resources from agriculture. Adaptation policies are essential to adapt to the Motivation Theory (PMT) was applied to fill this gap as an underpinning for identifying the major contributing factor of farmers' adaptation behaviour to climate effects. A study of 382 smallholder farmers in the Malaysian peninsula was conducted using a multi-stage stratified random sampling technique, revealing that specific farmers were postponing protection actions in the face of serious continuous impact. A low tendency to adopt policies suitable for decreasing climate impacts has been noted. Partial least square (PLS) path design and Bayesian system analysis were used to reveal the responsiveness, perceived severity, cost of reaction, perceived susceptibility, self-efficacy, earnings, and social norms considerably affected the adaptation behaviour. The feeling of controlling climate effects on the farm can increase the adoption of protective measures. Hence, collaborative programmes need to be developed to support farmers, and foster feelings of control over climate change and its impacts.

HRMARS is well established journal publisher based in Pakistan. It is publishing prominent journals in social sciences since 2011.

The sustainability of organic rice farming has become a significant focus in agricultural development, as it addresses the interconnected challenges of economic viability, environmental preservation, and social equity. This study evaluates the sustainability of organic rice farming across five districts in Central Java and Yogyakarta, Indonesia, through a comprehensive assessment of economic, ecological, and social dimensions. A proportional stratified random sampling approach was employed, involving 150 farmer respondents, with 30 farmers selected from each district. Descriptive analysis revealed an average sustainability score of 2.94, indicating a moderate level of sustainability. In addition, the Rapid Appraisal for Sustainability (RAPS) tool yielded an average index score of 68.56, categorising the farming systems as "fairly sustainable." The model was further validated through a normalization test, which demonstrated strong consistency across the three sustainability dimensions, with a Standardized Residual Sum of Square (STRESS) value of 0.14 and an R-Squared (RSQ) value of 0.95, suggesting that the data were robust and the model reliable. Sensitivity analysis identified seven critical factors influencing sustainability: agricultural product prices, financial management, poverty alleviation, crop rotation, the involvement of women and young farmers, and preservation of tradition. The results of validation and stability tests indicated that the sustainability model was both stable and reliable across all three dimensions, with an overall sustainability score of 1. These findings underscore the importance of promoting sustainable agricultural practices in organic rice farming and highlight the need for enhanced government involvement in raising awareness, providing training, and fostering educational initiatives to support the economic, ecological, and social dimensions of sustainability in the region.