This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal. A CSV model is a participatory integrated approach using climate information, improved context-based technologies/practices aiming at reaching improved productivity (food and nutrition security), climate resilient people and ecosystem and climate mitigation.

In this paper is presented a novel approach to elicit stakeholder visions of future desired land use, which was applied with a broad range of experts to develop cross-sectoral visions in Europe. The approach is based on (i) combination of software tools and facilitation techniques to stimulate engagement and creativity; (ii) methodical selection of stakeholders; (iii) use of land attributes to deconstruct the multifaceted sectoral visions into land-use changes that can be clustered into few cross-sectoral visions, and (iv) a rigorous iterative process.

In this study, it is applies a participatory scenario modelling framework to assess potential societal responses to the impacts of climate change by the mid-21st century, and model consequent land use and land cover change scenarios under different livelihood futures as guided by communities’ members in the areas under investigation. The authors focused their analysis on two montane sites of the Eastern Afromontane Biodiversity Hotspot , the Taita Hills, Kenya, and a montane area north-west of Jimma, Ethiopia

This paper explores the potential of the multi-strata design used in edible forest gardens based on studies during the establishment of edible forest gardens (the first four years) in the agricultural settings of a group of participating farms in Sweden. The design and species composition of such gardens, the kind of food they may provide, and how they would best fit into the present landscape are discussed.

Participatory approaches have been discussed as alternatives to and complementary elements of more conventional research on sustainable land use and rural development in upland areas of Southeast Asia. Following a brief overview of the history of participatory approaches (Sect. 9.1), this chapter discusses the potential and limitations of applying Participatory Rural Appraisal (PRA) tools to field research practice in Vietnam (Sect. 9.2) and of involving stakeholders in priority setting, modeling and environmental valuation in the Southeast Asian uplands (Sect. 9.3).

Although many agronomic researchers currently focus on designing and developing decision support systems, they rarely discuss the methodological implications of such work. In this paper, with the examples of two decision support systems, we propose methodological elements for conducting the participatory design of such tools. The authors proposition aims at building dialogue between designers and users but also between humans, tools and work situations.

This study aimed at conducting a semi-participatory assessment of simple biomass carbonization techniques and available feedstocks and measured the agronomic benefits for urban vegetable farmers in Tamale, Ghana, where urban horticulture is an important component of the local economy. The paper objectives were firstly to evaluate the potential of on-farm biochar production from crop residues and secondly to investigate the relevance of this technology to farmers’ economic realities

Timely availability of reliable information on weather conditions, agro-advisories, and market information can help to minimize losses in agriculture. This paper presents a scientific and integrated approach to identify areas of high agriculture vulnerability to climate change and availability of ICT services for dissemination of Climate Smart Agriculture (CSA) information in the vulnerable areas. This study was illustrated for India where the majority of the population depends on agriculture for their livelihoods, and this sector is highly vulnerable to climate change.

In this paper, a novel method to collect symptoms of the disease, as observed by the farmers, using a mobile phone application has been presented. A cumulative composite risk index (CCRI) obtained from more than one existing disease forecast models is validated from the actual late blight queries received from the farmers. The main contribution of the paper is a protocol that combines the symptoms based diagnostic approach along with the plant disease forecasting models resulting in detection of Potato late blight with higher accuracy.

The development of information and communication technologies (ICT) has to meet the needs of farmers and sustainably support the competitiveness of agriculture in a rapidly changing digital world. Under certain conditions of use, digital tools could facilitate the application to agriculture of the historical, methodological and socio-economic principles defining agroecology. This chapter is composed of four sections. In the first section we define a framework to study agricultural IC tools.