Topic
Precision Agriculture
From the archive
Reporting from earlier editions of The Agrotech Daily. Figures, prices and policies may have changed since.
- Precision & digital, GlobalThe role of artificial intelligence in agriculture, and how it is being used to improve crop yields and reduce costsExplains how AI is used in farming for precision input use, farm management, crop monitoring, soil analysis, yield prediction and livestock monitoring, and its limits.
- Precision & digital, GlobalThe role of technology in food security and sustainabilityPrecision agriculture, smart irrigation, automated farming, livestock management systems and AI can raise yields and cut waste, supporting food security and sustainability.
- Precision & digital, United KingdomIoT sensor networks for agriculture: deploying soil moisture and nutrient monitoring across UK farmsA guide to farm sensor networks in the UK: soil moisture, nutrient, pH, temperature and conductivity sensors, LoRaWAN and cellular links, placement and costs of £150 to £500 per node.
- Precision & digital, Global6 best ways in which data science is contributing to agricultureData science is helping agriculture through pest management apps, climate adaptation, yield prediction and satellite crop monitoring, with examples from Agrosmart, IBM and Farmers Edge.
- Precision & digital, IndiaAgri-tech revolution: India’s agriculture post-2020 pandemicHow agritech, from farm produce e-commerce to precision agriculture, agri-fintech and supply chain tools, helped Indian farming through the pandemic, and what still limits its adoption.
- Precision & digital, GlobalSmart farming: advancing responsibly with Agriculture 4.0Agriculture 4.0 combines IoT sensors, AI, big data, robotics and precision application to raise efficiency, though cost, data privacy and the digital divide call for responsible adoption.
- Precision & digital, GlobalDrones for crop monitoring and managementDrones carrying cameras and sensors help farmers monitor crop health, map fields and target water and fertiliser, though cost, training and regulation are hurdles.
- Precision & digital, GlobalThe use of artificial intelligence in agricultureAI is used in agriculture for precision farming, crop monitoring and yield prediction, livestock health and supply chains, though it raises concerns over jobs and data ownership.
- Precision & digital, GlobalNavigating drones in farming: balancing advantages and drawbacksDrones help farmers monitor crops, map fields and apply inputs precisely, but bring upfront costs, skills needs, short flight times, weather limits, regulation and privacy concerns.
- Inputs & crop science, GlobalThe role of technology in reducing pesticide useExplains how integrated pest management, precision agriculture, biological control, genetic modification and organic methods can reduce reliance on chemical pesticides.