{"id":2223,"date":"2026-09-24T01:10:00","date_gmt":"2026-09-23T16:10:00","guid":{"rendered":"https:\/\/onepress.co.kr\/index.php\/briefing\/2026-09-24-precision-irrigation-en\/"},"modified":"2026-09-24T01:10:00","modified_gmt":"2026-09-23T16:10:00","slug":"2026-09-24-precision-irrigation-en","status":"publish","type":"briefing","link":"https:\/\/onepress.co.kr\/index.php\/briefing\/2026-09-24-precision-irrigation-en\/","title":{"rendered":"Sensor irrigation used up to 15% less water in tomato and grape trial plots"},"content":{"rendered":"

2026-09-24 01:10 KST<\/strong><\/p>\n

The 23 September Plants, People, Planet study adjusted irrigation with soil and weather sensors and checked growth with drones and non-destructive measurements.<\/p>\n

\u201cUp to 15%\u201d is the upper result in these crops and conditions, not a fixed farm average or universal climate effect.<\/p>\n

How compared<\/h2>\n

For tomatoes and grapes, a conventionally managed plot was compared with an advanced sensor-irrigated plot, tracking water, yield and fruit-quality indicators.<\/p>\n

Why less water<\/h2>\n

Instead of watering on a fixed schedule, the system responded to soil moisture and plant stress. Drones helped detect field variation.<\/p>\n

\"Sensor
This AI-generated image explains the topic; it is not a photograph of an actual event, observation or field site.<\/figcaption><\/figure>\n

Can it scale<\/h2>\n

An independent precision-irrigation review also finds savings, but ranges vary widely. Sensor cost, soil, cultivar, water price and support determine outcomes.<\/p>\n

Next checks<\/h2>\n

Multi-year, multi-site replication and economics including equipment are needed, plus long-term salinity, root health and basin-level water use.<\/p>\n

Primary source and independent checks<\/h2>\n

Primary source: Plants, People, Planet paper<\/a><\/p>\n

Institutional explanation: Wiley research release<\/a><\/p>\n

Independent check: Independent precision-irrigation review<\/a><\/p>\n

Read in other languages<\/h2>\n

\ud55c\uad6d\uc5b4<\/a> \u00b7 English<\/a> \u00b7 Espa\u00f1ol<\/a> \u00b7 \u65e5\u672c\u8a9e<\/a> \u00b7 Ti\u1ebfng Vi\u1ec7t<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Italian processing-tomato and table-grape plots using sensor-guided irrigation used up to 15% less water while improving yield and quality measures. Each crop compared one advanced and one conventional plot, so the rate is not guaranteed elsewhere.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":[],"class_list":["post-2223","briefing","type-briefing","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/onepress.co.kr\/index.php\/wp-json\/wp\/v2\/briefing\/2223","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/onepress.co.kr\/index.php\/wp-json\/wp\/v2\/briefing"}],"about":[{"href":"https:\/\/onepress.co.kr\/index.php\/wp-json\/wp\/v2\/types\/briefing"}],"wp:attachment":[{"href":"https:\/\/onepress.co.kr\/index.php\/wp-json\/wp\/v2\/media?parent=2223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}