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.
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 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.
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.
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.
Human nutrition is vital for agriculture. Many smallholder farmers are food-insecure and suffer chronic or acute forms of malnutrition. This can permanently harm the physical and cognitive growth of children, while reducing productivity as household members are less able to carry out agricultural work.
Agriculture is vital for human nutrition. Nutrition has long been considered mostly a health issue. However, agriculture plays an essential role in ensuring nutritional wellbeing not only for rural populations, but also for society as a whole.
This video illustrates the goals and work of the Tropical Agriculture Platform (TAP), a G20 initiative supported by the European Union to improve efficiency and effectiveness of capacity development programmes and of knowledge sharing in order to strengthen agricultural innovation systems in the tropics and sub-tropics. The Secretariat of TAP is hosted by the Research and Extension Unit, Office of Innovation, of the Food and Agriculture Organization (FAO) of the United Nations.
Este video ilustra los objetivos y el trabajo de la Plataforma de la Agricultura Tropical (TAP), una iniciativa del Grupo de los Veinte (G20) respaldada por la Unión Europea para mejorar la eficiencia y eficacia de los programas de desarrollo de capacidades y el intercambio de conocimientos con el fin de fortalecer los sistemas de innovación agrícola en los trópicos y subtrópicos. La Secretaría de la TAP está albergada en la Unidad de Investigación y Extensión de la Oficina de Innovación de la Organización de las Naciones Unidas para la Agricultura y la Alimentación (FAO).
Over the past few decades, some countries in Asia have been more successful than others in addressing poverty and malnutrition. The key question is what policies, strategies, legislation and institutional arrangements have led to a transformed agricultural sector, effectively contributing to poverty alleviation and addressing malnutrition. The great majority of national policymakers within and outside the Asia-Pacific region are keen to understand the causes of agricultural development and transformation in successful countries in Asia.