Land suitability analysis using geographic information systems (GIS) is one of the most widely used method today. In this type of studies, GIS and geo-spatial statistical tools are used to evaluate land units and present the results in suitability maps. The present work aims to characterize the suitability of soils in the province of Catamarca for pecan nut production according to the variables: rockiness, salinity, risk of water-logging, depth, texture and drainage described in the Soil Map of Argentina at a scale of 1:500,000 published by the National Institute of Agricultural Technology. A classification of the suitability of the soil cartographic units was made according to crop requirements, applying the methodology proposed by FAO. The standardization of variables made by omega score and the calculation of the spatial classification score were carried out as a result of the synthesis of the spatial distribution of soil suitability. The applied methodology allowed obtaining the soil suitability map resulting in a total of 60,662 km² suitable for pecan nut production, which accounts for 59.8% of the total area of the province.

Universities play a crucial role in supporting sustainable development. In recent decades, indicator-based assessment tools have emerged to quantify universities’ efforts towards sustainability. The most widely known is the UI GreenMetric World University Rankings (UI-GWUR): In our paper, we examine the sustainability performance of the three greenest Hungarian universities. The University of Pécs, the University of Szeged and the University of Sopron were among the top 200 higher education institutions (HEIs) in the UI-GWUR in 2023, which proves that they have successfully integrated sustainable development into the components of their system. The aim of the paper is to identify the sustainability measures implemented by the three-top Hungarian HEIs. Their experiences shed light on how it is possible to move forward in the UI GWUR for a Hungarian higher education institution. In order to evaluate the sustainability efforts of the universities, the UI GWUR database was first examined. The websites and sustainability reports of the three universities were also analyzed to gain insight into their activities. Identifying the sustainability actions of the three institutions will help other universities to successfully plan and implement their sustainability initiatives. In the last part of our paper, we evaluate how the three Hungarian universities communicate sustainability through their websites. The results show that advancement in the UI Green Metric World University Rankings primarily requires conscious planning, which means a deeper understanding of the ranking methodology on the one hand, and a clear strategy creation and implementation on the other hand.

Agricultural productivity has remained central to the gross domestic product (GDP) in Nigeria for several decades. However, the decline in the agricultural sector after the discovery of oil and gas resources is a serious challenge. The government has initiated several policies to rejuvenate agricultural productivity. Little attention has been given to the exploration of policy implementation for fish farming and aquaculture as an integral part of agribusiness in the country. The World Bank asserts that the yearly demand for fish is 3.4 million metric tons (i.e., 40%) is locally produced and the remaining 60% is supplied through importation of fish. Therefore, the primary objective of this paper is to re-assess policy implementation to explore and expand the potential of fish farming in Nigeria to address abject poverty and high unemployment rates. This can be achieved when a shift of attention is given to small- and medium-scale businesses, and consequentially achieve sustainable agribusiness and socio-economic development in the country. This study used library-based research and content analysis as its methodology, wherein secondary data were used to review different aspects that can foster fish farming in the country. The findings from the content analysis of the study demonstrated that in order to achieve domestic production and stop the importation of fish, there is a need for the establishment of nothing less than 400,000 fish farming across the country. The paper highlighted various types and techniques for breeding, rearing, and harvesting fish by strengthening their effectiveness and efficiency. This study emphasized the vital importance of technology, such as reliable energy facilities, solar energy, and solar irrigation, in reducing the cost of diesel in powering generators to maximize fish investment. The limitations of this study are highlighted, and SWOT analysis (i.e., strengths, weaknesses, opportunities, and threats) in fish farming is elaborated. It is suggested that the implementation of policies to support farmers in general and fish farmers in particular, such as the provision of credit loans and other fish feeds for sustainable agribusiness and socio-economic development, occupies a central climax of this research.

Technological advancements are transforming agriculture, yet adoption rates among agricultural extension officers, especially in regions like West Java, remain modest due to several challenges. This study applies the Technology Acceptance Model (TAM) to investigate factors influencing the adoption of agricultural technologies by agricultural extension officers in West Java. Specifically, we explore the role of socialization, training, access to technology, cost, perceived ease of use, and perceived usefulness in shaping behavioral intention and actual adoption. Data were collected from 295 agricultural extension officers via structured surveys and analyzed using SmartPLS 4 software. The findings indicate that socialization and training collectively enhance both perceived ease of use and perceived usefulness, while Technology Investment Worth specifically enhances perceived usefulness by emphasizing the value of the investment. Access to technology also plays a critical role in increasing ease of use perceptions. Both perceived ease of use and usefulness positively influence behavioral intention, which in turn is a strong predictor of actual adoption. The results provide valuable insights for policymakers aiming to increase technology uptake among agricultural extension officers, promoting sustainable agricultural practices through improved access, support, and cost reduction initiatives.