Abstract: Drones and other unmanned aerial vehicles (UAVs) used for agriculture have recently emerged as a key tool for ground sensing in "smart farming." For precision agriculture's water management ...

Researchers from Morocco, the UAE, Egypt, Italy, and South Africa have developed a low-cost IoT- and fuzzy logic–based irrigation system that dynamically adjusts watering using real-time soil and ...

Abstract: Agriculture forms the backbone of many economies, and its efficiency largely depends on effective soil and water management. This paper presents an IoT-based system for nutrient monitoring ...

A University of Rwanda (UR)-led project has developed innovative devices to monitor the cassava value chain aiming to boost productivity and quality, reduce post-harvest losses, cut greenhouse gas ...

IoT technology has equipped the fields with tens of thousands of "nerve endings." A network of sensors distributed across the ...

Sectional measurements, or measurements within DMA zones, represent a major challenge for water utilities, as pipeline access ...

New-age agritech ventures are tapping AI, sensors, and drones to detect crop diseases early, helping farmers prevent losses ...

The 'precision' of the IoT smart irrigation system is reflected in its meticulous management of 'water'. Its core is a ...

Source water contaminants will vary by region and location. Some common sources include industry and agriculture runoff, ...

The NASA Soil Moisture Active Passive (SMAP) mission, launched in 2015, has over 10 years of global L-band radiometry observations. The low frequency [1.4 GHz frequency or 21 cm (8 in) wavelength] ...

The NASA Soil Moisture Active Passive (SMAP) mission, launched in 2015, has over 10 years of global L-band radiometry observations. The low frequency [1.4 GHz frequency or 21 cm (8 in) wavelength] ...