Integrated Pest Management (IPM) is considered as an ecological conservation technology for crop pests' management; however, the technology adoption is intensely affected by surrounding socio-psychological environment, which is poorly studied, particularly in developing nations. The present study therefore aimed at addressing this gap through application of an extended form of Technology Acceptance Model (TAM) in order to examine the determinants of Iranian farmers' ecological conservation behavior regarding the use of IPM practices.

This paper explores possible pathways for different types of farmers, considering where they might be in the future, beyond 2030 and the era of the SDGs. It outlines some of the necessary interventions, risks and trade-offs associated with these different pathways, for farmers operating in a variety of agricultural systems globally, including cropping, livestock and tree (silvopasture) systems. It also considers the impacts of different disruption scenarios that could radically alter anticipated pathways and offers a range of possible interventions.

At present, agricultural policies in Kenya often ignore specific target groups because there is a lack of contextual information on farmers’ specific socio-economic conditions. The aim of this study was to fill this knowledge gap by answering the following research questions: 1. What determines the adaptive capacity of AIV farmers in Kenya? 2. How does access to capital assets differ by farming household characteristics and between the selected areas? 3. What are the AC levels of AIV farmers in the selected zones of Kenya? 4.

In this study the farmers were first asked to answer two sets of statements related to views on climate change and experiences on changes so far in their own farm or nearby locations.

Collaborative co-development of decision tools by researchers and corporate and financial actors, that draws upon their distinct needs and knowledge sets, can improve the utility of these tools for real-world application (e.g.

The EU rural development policy has addressed challenges related to climate change in agriculture by introducing public voluntary schemes, which financially support the adoption of climate-smart agricultural practices. Several factors, most of which are non-financial ones, drive adoption and continuation of these schemes by farmers. Despite the importance of these factors, only a few studies explore their role in the European context. This paper contributes to filling this gap from a twofold perspective.

Applying the field of knowledge management to supply chain management through a knowledge management theoretical framework, this paper provides future research inquiries pertaining to how scholars can utilize the largely ignored areas of supply chain digitisation as well as the growing areas to explain how the human dimension of supply chain management can be further explored for the purposes of optimizing supply chain digital performance

This study developed a model called the Indonesian Palm Oil Simulation (IPOS). This aims to understand the value chain of the palm oil industry. It provides options for policymakers and decision-makers about possible futures for the Indonesian palm oil industry at the national level.

The study proposes a knowledge-intensive and qualitative research methodology based on researcher-farmer participatory approach, with the aim to improve the state of knowledge on organic rice, explore the yield potential and variability, and identify the successful agronomic practices. A wide range of cropping systems placed in North Italy were monitored and analysed during three years by a multi-actor network.

Literature is scanty on how public agricultural investments can help reducing the impact of future challenges such as climate change and population pressure on national economies. The objective of this study is to assess the medium and long-term effects of alternative agricultural research and development investment scenarios on male and female employment in 14 African countries. The authors first estimate the effects of agricultural investment scenarios on the overall GDP growth of a given country using partial and general equilibrium models.