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.
Recent Society 5.0 efforts by the Government of Japan are aimed at establishing a sustainable human-centered society by combining new technologies such as sensor networks, edge computing, Internet of Things (IoT) ecosystems, artificial intelligence (AI), big data, and robotics. Many research works have been carried out with an increasing emphasis on the fundamentals of wireless sensor networks (WSN) for different applications; namely precision agriculture, environment, medical care, security, and surveillance.
Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield loss worldwide. Remote sensing can detect and map the presence of weeds in various spectral, spatial, and temporal resolutions. This review aims to show the current and future trends of UAV applications in weed detection in the crop field.
Rice is a primary food for more than three billion people worldwide and cultivated on about 12% of the world’s arable land. However, more than 88% production is observed in Asian countries, including Pakistan. Due to higher population growth and recent climate change scenarios, it is crucial to get timely and accurate rice yield estimates and production forecast of the growing season for governments, planners, and decision makers in formulating policies regarding import/export in the event of shortfall and/or surplus.
The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis considering a multicultivar approach.
Ornamental plants are constantly being improved by new technologies and cultivation systems to provide new, high-quality plant material for one of the most demanding markets in the horticulture sector. In addition, the ornamental production sector faces several challenges, such as an increase in costs of production, new and old pests and diseases, climate change and the need to adapt to environmental stresses, the need for conservation and environmental protection, and competition with other food and energy crops in terms of areas and natural resources.
This book describes how the Alliance for a Green Revolution in Africa (AGRA) has been trying to improve markets for staple foods in Africa through its Market Access Programme. It describes 13 projects from eight countries (Burkina Faso, Ghana, Kenya, Malawi, Mozambique, Rwanda, Tanzania and Uganda) that the programme has supported. The book does not attempt to describe the cases in detail. Rather, it focuses on particular aspects in order to derive lessons from which the project managers, AGRA and other development organizations can learn.
In line with the government of Mozambique’s strategies, this document proposes an innovative model with high promise to develop value-adding market led post-harvest processing enterprises and to transform the post harvest-processing sector in Mozambique, while creating sustainable jobs and increasing incomes. The challenge is to ensure coordination across value chains to guarantee that the right conditions are in place for making the Agribusiness Innovation Center (AIC) a success.
This brief discusses the benefits of innovation platforms in dealing with natural resource management issues.
This brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms. A contribution to the CGIAR Humidtropics research program, the development of the briefs was led by the International Livestock Research Institute; they draw on experiences of the CGIAR Challenge Program on Water and Food, several CGIAR centres and partner organizations.
These advanced training materials have been produced to foster the capacity of practitioners from private, nongovernmental and public sectors on one hand, and academics and scientists on the other, to practically implement cost-efficient RWHI technologies and practices in arid and semi-arid areas. Therefore, these training materials intend to provide the required information to support proper planning, design and construction of cost-efficient RWHI technologies and practices, with special emphasis on the specific problems encountered in Ethiopia, Kenya, Mozambique and Zimbabwe.