The application of ubiquitous computing has increased in recent years, especially due to the development of technologies such as mobile computing, more accurate sensors, and specific protocols for the Internet of Things (IoT). One of the trends in this area of research is the use of context awareness. In agriculture, the context involves the environment, for example, the conditions found inside a greenhouse.
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 impact of global warming on crop growth periods and yields has been evaluated by using crop models, which need to provide various kinds of input datasets and estimate numerous parameters before simulation. Direct studies on the changes of climatic factors on the observed crop growth and yield could provide a more simple and intuitive way for assessing the impact of climate change on crop production.
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.
This presentation from the 2nd Triennial GFAR Conference, held in Senegal in 2003, presents InterSard and InterDev: two cases of partnerships for sharing information and knowledge on good practices and local innovation.
Empirical studies on agricultural technology adoption generally divide a population into adopters and nonadopters, and analyse the reasons for adoption or nonadoption at a point in time. In reality, technology adoption is not a one-off static decision, rather it involves a dynamic process in which information gathering, learning and experience play pivotal roles, particularly in the early stage of adoption. A conceptual framework for an adoption pathway is suggested in which farmers move from learning to adoption, to continuous or discontinuous use over time.
Ce guide s’adresse aux professionnels du monde rural, et au-delà, aux professionnels du développement (ONG d’appui, groupements, organisations paysannes, etc.) qui mettent en place et animent des services d’information. Le rôle de l'information est déterminant dans la pratique professionnelle. Elle est nécessaire au renforcement des connaissances et des compétences des acteurs, comme aide à l'action, à l'innovation et à la résolution des problèmes. Pour cela, elle doit être opérationnelle, pratique et directement utilisable.
Le présent document inclut les sections suivantes :
• La description des politiques et stratégies du Bénin dans les domaines du développement et de la réduction de la pauvreté, en particulier en vue de l’amélioration des conditions de vie des groupes vulnérables, dont les femmes rurales. Les politiques et stratégies qui orientent le développement du secteur agricole et rural sont aussi décrites, essentiellement eu égard aux aspects intéressant les groupes vulnérables, notamment les femmes rurales (Chapitre 3).