Economic development and the successful transformation ofagriculture have been at the core of impressive change in countriessuch as China, India, Indonesia, Brazil, Mexico, and Argentina. This transformation has relied on substantial and effective investment inagriculture, and, in particular, building capacity in all aspects of agricultural change – from technology development and transfer through infrastructural development and the processing of agricultural commodities into consumer products.
An extension help farmers in their efforts to increase production and quality of their products in order to improve their welfare. Therefore, the extension has many roles, among others as a mentor farmer extension, organizer, coach technicians and a bridge between family farmers and research institutions in agriculture because of the existence of agricultural extension field is important for farmers. Extension activities in the desa Tanjung Gunung one of which was given to cocoa farmers.
This study aims to determine the factors that influence group dynamics, and to find out whether there is a relationship between agricultural extension programs to farmer group dynamics. Data analysis method used is a Likert Scale and analyzed descriptively qualitatively. The results showed that the dynamics of the Sri Makmur Farmers Group were categorized as Less Dynamic. This is because the elements of the farmer group dynamics are not going well. Based on the results of a Likert Scale Research with Spearman Rank Correlation obtained a value of 0.221 at a confidence level of 95% (α 0.05).
Extension agent is one of the important factors in the agricultural process to deliver technology information and agricultural programs from government to farmers. The good performance of agricultural extension agents will have an impact on improving the performance of farmers to increase agricultural production.In Langkat Regency, the extension agent performance was not still optimal. Factors affecting the performance of the extension agent consist of internal and external factors.
Enhancing the diversity of agricultural production systems is increasingly recognized as a potential
means to sustainably provide diversified food for rural communities in developing countries, hence
ensuring their nutritional security. However, empirical evidences connecting farm production
diversity and farm-households’ dietary diversity are scarce. Using comprehensive datasets of
market-oriented smallholder farm households from Indonesia and Kenya, and subsistence farmers
The problems of agricultural development for small and medium enterprises (SMEs) are considered. The features of modeling business processes in agriculture are analyzed. A financial decision support system is proposed to increase sustainability and reduce risks in the development of agricultural SMEs. The software modules are based on TEO-INVEST.
For an intelligent agricultural robot to reliably operate on a large-scale farm, it is crucial to accurately estimate its pose. In large outdoor environments, 3D LiDAR is a preferred sensor. Urban and agricultural scenarios are characteristically different, where the latter contains many poorly defined objects such as grass and trees with leaves that will generate noisy sensor signals. While state-of-the-art methods of state estimation using LiDAR, such as LiDAR odometry and mapping (LOAM), work well in urban scenarios, they will fail in the agricultural domain.
It is difficult to establish the precise mathematical model of agricultural wheeled robots with differential drive for path tracking control, due to characteristics of nonlinear, strong coupling and multivariable. Here, path tracking control is studied for agricultural wheeled robot with differential drive based on sliding mode variable structure. Firstly, the motion model of agricultural wheeled robots with differential drive is established and control goal is determined for path tracking. Then, sliding mode variable structure is applied to design the controller.
This paper presents Thorvald II, a modular, highly re-configurable, all-weather mobile robot intended for applications in the agricultural domain. Researchers working with mobile agricultural robots tend to work in a wide variety of environments such as open fields, greenhouses, and polytunnels. Until now agricultural robots have been designed to operate in only one type of environment, with no or limited possibilities for customization.