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21 Jun 2021 | SERVIR-HKH

Data and Farming Innovations Aiding Crop Pest Risk Prediction and Management in Low Income Countries

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Novel Solutions in the form of pest risk alert systems now present a unique opportunity for low income countries to better predict, prevent and manage pests that are estimated to cause between 20%-40% crop losses annually, threatening the food security of millions.

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Monsoon Floods Devastate Commercial Crops, Cause Loss Of $1.7 Bln In Sindh: Study

A recent by the International Centre for Integrated Mountains Development (ICIMOD) and Pakistan Agricultural Research Council (PARC) has revealed that ...

22 Apr 2022 SERVIR-HKH
नेपालमा भूआवरण अनुगमन प्रणाली सुरुवात

वन अनुसन्धान तथा तालिम केन्द्रले पृथ्वी दिवसको अवसर पारेर नेपालको राष्ट्रिय भूआवरण अनुगमन प्रणाली सुरु गरेको घोषणा गरेको छ । ...

6 Sep 2021 SERVIR-HKH
Early warning systems saving lives during Nepal’s monsoon

For days leading up to the disaster, Mr. Harisaran Shrestha had been listening to warnings about floods in the Melamchi, ...

13 Oct 2022 SERVIR-HKH
Flood Woes Continue in Pakistan

In early September 2022, floods in Pakistan were the worst in a decade. Monsoon rains had pummeled the region for ...

16 Mar 2022 SERVIR-HKH
Geospatial platform on cards to monitor afforestation programme

Efforts are underway to launch a geospatial platform for monitoring the Ten Billion Tree Tsunami afforestation programme and ecosystem restoration ...

13 Sep 2022 SERVIR-HKH
Pakistan floods threaten food security, destroy key crops

Floods hit dozens of areas Pakistan Balochistan, Sindh and Punjab. Large tracts of farmland were destroyed in the provinces. If thousands of ...

14 Sep 2022 SERVIR-HKH
Monsoon floods devastate commercial crops, cause loss of $1.7 bln in Sindh

A recent by the International Centre for Integrated Mountains Development (ICIMOD) and Pakistan Agricultural Research Council (PARC) has revealed that ...

24 Apr 2022 SERVIR-HKH
Nepal’s land divided in 11 categories

Kathmandu, April 24 (RSS): The government has classified the land into 11 different categories. Based on the National Land Cover Monitoring ...