Digitalization of agriculture may be a solution to feed a huge growing population in the future. Application of big data is a key tool to digitalize the agriculture sector. Though there is a long debate on its applicability to agriculture, this study aims to address how big data technology contribute to digital agriculture in terms of sustainable farm management. The study uses an extensive review of current research work and studies in agriculture for exploring the best and compatible practices which can help farmers at field level for increasing production and improving quality. This study reveals several available big data technologies and practices in agriculture for solving the current problems and future challenges at the field level. The study reveals that application of big data technologies in agriculture is growing but still at low level. It also explores that there are a few technologies used for crop production, plant protection, livestock production, fisheries, post-harvest management and market development. The study finds out some challenges such as privacy of data, data availability, quality and openness, financial investment, lack of expertise and context specific technology. The study recommends that a large-scale adoption of agricultural big data technologies require government initiatives, a public-private partnership, the openness of data, financial investment and regional basis research work.
Farmer group institutions have been being a target group for various innovations in the agricultural development program. Unfortunately, the aspect of their institutional system is getting ignored frequently. This study aimed to know the farmer group institution performance’s determinant factors...
The DURAS Project, which ran from 2004 to 2008, established a truly pioneering means of integrating innovation from science with that from communities themselves. At the heart of DURAS has been its innovative competitive grants system. Following an original selection...
Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of...
Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for...
Multi-stakeholder partnerships network which is typified by the FARA-led Integrated Agriculture Research for Development (IAR4D) of the SSA-Challenge Program is an innovation platform (IP) composed of stakeholders bound together by their individual interests in a shared commodity or outcome. The...