The tools of biotechnology present an opportunity to infuse a new round of technology into Indian agriculture, which has been going through "technology fatigue" in recent period. These technologies follow from the conventional plant breeding techniques and complement them in improving crops to resist biotic and abiotic stresses, break yield barriers, and sustain yields in the face of resource degradation and climatic change.
One of the key challenges for agriculture today is feeding an increasing population without contributing to climate change. Increasingly, digital agriculture is discussed as a new sociotechnical regime that could help limit emissions for farmers worldwide. While sustainability is an important issue, recent papers in the field of digital agriculture do not address the problem directly. After a literature review, this paper will focus on the importance of shared perspectives as enablers in socio-technical transitions.
The rapid transformation of agri-food value chains in Africa and other developing countries has important implications for economic growth and poverty reduction. Policy makers increasingly recognize this but there is a need for a better understanding of what value chain transformation entails and what the main policy options are. This paper provides an overview and analysis of different value chain models that have emerged in the past decades and reviews the literature on the main development implications.
The Guide to Effective Collaborative Action is built on the foundation of 10 years' experience in transforming food and agricultural commodity systems by UNDP's Green Commodities Programme. It is broadening the application from support to commodity production to the transformation of food systems. The four building blocks of putting systems change into practice, integrated with backbone support and essential practices for stakeholder actions, provide a framework for Changing Systems through Collaborative Action.
The Digital Innovation Strategy (DIS) of the Regional Office for Africa (RAF) of FAO has been prepared to respond to critical challenges facing inclusive and sustainable agrifood system transformation in sub-Saharan Africa. It is enshrined in the new Strategic framework 2022–2030 that aims to accelerate the "transformation to more efficient, inclusive, resilient and sustainable agri-food systems for better production, better nutrition, a better environment and a better life, leaving no one behind".
Soil texture is a key soil property influencing many agronomic practices including fertilization and liming. Therefore, an accurate estimation of soil texture is essential for adopting sustainable soil management practices. In this study, we used different machine learning algorithms trained on vis–NIR spectra from existing soil spectral libraries (ICRAF and LUCAS) to predict soil textural fractions (sand–silt–clay %). In addition, we predicted the soil textural groups (G1: Fine, G2: Medium, and G3: Coarse) using routine chemical characteristics as auxiliary.
Visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization.
This research examines the transformation of the agro-climatic conditions of the Altai region as a result of climate change. The climate of the Altai region in Russia is sharply continental and characterized by dry air and significant weather variability, both in individual seasons and years. The current study is determined by the lack of detailed area-related analytical generalizations for the territory of the Altai region over the past 30 years.
Sorghum crop is grown under tropical and temperate latitudes for several purposes including production of health promoting food from the kernel and forage and biofuels from aboveground biomass. One of the concerns of policy-makers and sorghum growers is to cost-effectively predict biomass yields early during the cropping season to improve biomass and biofuel management. The objective of this study was to investigate if Sentinel-2 satellite images could be used to predict within-season biomass sorghum yields in the Mediterranean region.
Celebrating the 50th anniversary of International Earth Day on April 22 2020, UNDP launched a new way of helping farmers: Multi-Stakeholder Collaboration for Systemic Change: A New Approach to Strengthening Farmer Support Systems, a guidance note which encourages and guides governments to develop new partnerships, enable innovation and strengt