The growing need for high-throughput phenotyping is especially critical given the rising number of crop varieties and ...

Plant pests and diseases are responsible for major global crop losses, posing serious threats to food security and sustainable agriculture. Traditional ...

Agriculture has undergone profound transformations in recent decades – from the localized manual field labor of ...

A smart irrigation system that automates watering based on soil moisture levels. Using Arduino and a soil moisture sensor, it ensures plants get the right amount of water, optimizing usage and ...

A new AI-driven system designed to optimize energy use and resource allocation in smart agriculture has demonstrated superior performance over conventional machine learning models, according to a 2025 ...

In the drought-prone district of Mwenezi, Zimbabwe, farmers battle unpredictable rainfall and dwindling agricultural yields. Climate change has made traditional farming methods unreliable, forcing ...

To address all these issues, this paper proposes a smart agriculture monitoring and automatic irrigation system based on LoRa. The system utilizes LoRa technology for long-range wireless communication ...

Smart agriculture is the way of the future to more efficiently manage crops, requiring the adoption of new technologies such as IoT, cloud computing, Industry 4.0 and AI/ML. Smart agriculture refers ...

Water scarcity is a critical issue in many regions, particularly in arid and semi-arid areas. Efficient water management practices are essential to address the increasing demand for water in urban ...

Climate-smart agriculture focuses on three key pillars—increasing productivity, enhancing resilience to climate change, and reducing greenhouse gas emissions.