3D Move To See (3DMTS) is a mutli-perspective visual servoing method for unstructured and occluded environments, like that encountered in robotic crop harvesting. This paper presents a deep learning method, Deep-3DMTS for creating a single-perspective approach for 3DMTS through the use of a Convolutional Neural Network (CNN). The novel method is developed and validated via simulation against the standard 3DMTS approach.
This paper proposes a bionic electric spraying rod to perform the crop watering and spraying in the farm. The design concept of multiple vertebrae structures of snake is used to realize a reproducible snake bone arm and muscles of snake, which can be regarded as multiple sets of thin wires and be pulled and released through driver module. It results in different attitudes of the snake bone arm. A water pipe is installed in the snake arm connected to the spray nozzle for spraying. The mobile application interface (APP) is designed to provide the user to control the arm remotely.
The new Constitution of Nepal (2015) has initiated federal, provincial, and local governments in Nepal, each bestowed with respective rights, responsibilities, power and authority. While developing the new mechanism of governance, the Constitution has given immense authority as well as responsibility to local governments, which is unprecedented and has never been experienced before in the history of Nepal. Along with the restructuring of the state, the institutional mechanism of the agriculture sector has also been restructured.
Mounting evidence points to the fact that climate change is already affecting agriculture and food security, which will therefore make the challenge of ending hunger, achieving food security, improving nutrition, and promoting sustainable agriculture even more difficult (FAO 2016). Through Sustainable Development Goal (SDG) 13, the 2030 Agenda calls for strengthened resilience and adaptive capacity in response to natural hazards and climate-related disasters globally.
The Government of Burkina Faso embraced innovation in agriculture many years ago, thus CDAIS could build on solid foundations. Six innovation niche partnerships were selected, each working on very different types of innovations, technically, socially or organisationally, and facing contrasting challenges for capacity development.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
This manual was produced as a resource for the National Innovation Facilitators (NIFs) across countries of the Capacity Development for Agricultural Innovation Systems Project (CDAIS). The objective of this manual is to guide the activities organization level as well as coach the national innovation facilitators. It will help them increasing their understanding of the different stages of the coaching process. This guide provides information on the general methodology of engaging, supporting and coaching actors of key national organizations to have the capacities to innovate.
During the period 2013-2019, the Agricultural Extension in South Asia (AESA) Network has served as a platform for collating the voices, insights, concerns, and experiences of people in the extension sphere of South Asia. Diverse professionals shared their concerns on the present and future of Extension and Advisory Services (EAS) in the form of blog conversations for AESA. Together, all of these individuals who are involved, interested and passionate about EAS, discussed ways to move beyond some of the seemingly intransigent problems that are hindering the professionalization of EAS.
Increasing attention is being given to evaluating the impact of advisory services in terms of their effectiveness in providing farmers with knowledge and networks for innovation as well as understanding the factors that influence this effectiveness (Prager et al, 2017). The demand and uptake of advisory services is one factor and Klerkx et al (2017) comment on the variation in farmers’ demand and the influences of variables such as farm size, asset status and education as well as stability or turbulence in the regulatory environment.
The aim of this work was to identify procedures adopted by family farms in the centre and north of Portugal and Galicia (Spain), and to verify whether they resemble those used in organic farming. A checklist was prepared in Portuguese and Spanish and applied personally to managers of family farms. The participation was voluntary and 125 valid responses were collected.