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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.

29 May 2022 SERVIR-HKH
Water shortage in Tarbela and Mangla dams

According to the Indus River System Authority (IRSA), the water authority in Pakistan, water in Pakistan's dams has reached its ...

10 Oct 2022 Pakistan
Floods in Pakistan: On one hand, crop affected by water stagnation, on the other hand water scarcity problem

After floods in many areas of Sindh, Balochistan and southern Punjab, farmers' agricultural lands have not been able to grow ...

22 Apr 2022 SERVIR-HKH
Land Cover Monitoring System for Nepal Launched

The Forest Research and Training Centre (FRTC) is pleased to announce the launch of Nepal’s National Land Cover Monitoring System ...

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, ...

16 Oct 2022 SERVIR-HKH
Continúan los problemas por inundaciones en Pakistán

Las lluvias monzónicas azotaron la región durante varias semanas y las inundaciones inundaron 75.000 kilómetros cuadrados del país. Seis semanas ...

15 Mar 2022 SERVIR-HKH
Climate Change Ministry to launch satellite monitoring based State of Forest Report

Special Assistant to Prime Minister (SAPM) on Climate Change Malik Amin Aslam on Tuesday announced that the Ministry would launch ...

21 May 2024 SERVIR-HKH
ICIMOD collaborates with Red Cross to develop Prakop Alert to forecast natural disaster

The International Centre for Integrated Mountain Development (ICIMOD) and the Nepal Red Cross Society have collaborated to develop a new mobile app to ...

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 ...