24 pages, In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed
16 pages., Online via Directory of Open Access Journals (DOAJ.org)., Interviews with 203 smallholder farmers in Uganda indicated that households with higher level of information access through cell phone use and weak-tie information sources were more likely to use inputs.
18 pages, Fraudulent pesticides suggest a solemn risk to sustainable agricultural production, environmental sustainability, and human health due to their unrevealed composition and quality. Nonetheless, their large-scale utilization in the agrifood sector relies on many factors, such as personal, institutional, and legislative ones. This study aimed to evaluate farmers’ perceptions of fraudulent pesticides and examine their marketability elements. The data came from 394 farmers’ structured questionnaires from Dakahlia governorate, Egypt. The factorial analysis revealed beliefs, health and environmental risks, quality recognition, price, and policies as the critical drivers for buying fraudulent pesticides. The cluster analysis disclosed two varied farmer segments—“conventional” and “conscious”—based on perception. “conventional farmers” signify 59.9% of the sample and reveal typical farmer behaviors and give more attention to factors such as beliefs and product price. Contrarily, “conscious farmers” symbolize a more sentient group about policy, product quality, and health and environmental issues. Significant differences (p < 0.01) occurred between the two segments, corresponding to their education, farming activity, farm size, and farming experience. The findings suggest reinforcing the extant pesticide laws and regulations’ administration mechanisms, implementing deliberate measures to increase public awareness of the consequences resulting from fraudulent pesticide use, and improving recognition behavior by detecting fraudulent pesticides with digital technologies among all stakeholders.
22 pages, While climate change threatens global food security, health, and nutrition outcomes, Africa is more vulnerable because its economies largely depend on rain-fed agriculture. Thus, there is need for agricultural producers in Africa to employ robust adaptive measures that withstand the risks of climate change. However, the success of adaptation measures to climate change primarily depends on the communities’ knowledge or awareness of climate change and its risks. Nonetheless, existing empirical research is still limited to illuminate farmers’ awareness of the climate change problem. This study employs a Bayesian hierarchical logistic model, estimated using Hamiltonian Monte Carlo (HMC) methods, to empirically determine drivers of smallholder farmers’ awareness of climate change and its risks to agriculture in Zambia. The results suggest that on average, 77% of farmers in Zambia are aware of climate change and its risks to agriculture. We find socio-demographics, climate change information sources, climate change adaptive factors, and climate change impact-related shocks as predictors of the expression of climate change awareness. We suggest that farmers should be given all the necessary information about climate change and its risks to agriculture. Most importantly, the drivers identified can assist policymakers to provide the effective extension and advisory services that would enhance the understanding of climate change among farmers in synergy with appropriate farm-level climate-smart agricultural practices.
