In Asia and the Pacific, the UN’s Food and Agriculture Organization (FAO) is working with member countries to leverage breakthroughs in information and communication technologies (ICT) to fight hunger, improve nutrition and counter the effects of climate change and extreme weather events that can devastate farmers and their crops. In the Philippines, a country prone to typhoons, aerial drones are taking to the sky to map out at-risk areas of agricultural land to mitigate risk. This innovative practice is also able to quickly assess damages when a disaster strikes.

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 Fall Armyworm first landed in West Africa in 2016 and has now spread over the whole continent. It has been recently reported in Yemen and India, and is most likely to spread in South east Asia and South China. This pest invades fields and cause significant damage to crops, if not well managed. FAO’s efforts to support farmers in the affected areas include amongst others the FAO Programme for Action, a global coordination project that brings together development and resource partners to maximize coordinated results and minimize duplications.

Given its superior importance of digital agricultural solutions to overcome challenges in agricultural activities, many of the solutions are in face of challenges to scale in Sub-Saharan Africa (SSA).

Digitization in agriculture is rapidly advancing further on. New technologies and solutions were developed and get invented which ease farmers’ daily life, help them and their partners to gain knowledge about farming processes and environmental interrelations. This knowledge leads to better decisions and contributes to increased farm productivity, resource efficiency, and environmental health. Along with numerous advantages, some negative aspects and dependencies risk seamless workflow of agricultural production.

CONTEXT: Adoption and diffusion of digital farming technologies are expected to help transform current agricultural systems towards sustainability. To enable and steer transformation we need to understand the mechanisms of adoption and diffusion holistically. Our current understanding is mainly informed by empirical farm-level adoption studies and by agent-based models simulating systemic diffusion mechanisms. These two approaches are weakly integrated.