Digital polygon dataset of Cultivated land of Afghanistan. This dataset is created using 1:1,000,000 scale map of Afghanistan and derived from Afghanistan Information Management Systems (AIMS), Afghanistan.

The layer demonstrate both irrigated and rain-fed wheat area cultivation in the country.

Digital dataset of Agriculture Cover of Central Karakoram National Park(CKNP) area, Pakistan. This dataset is extracted from land cover dataset of 2010 created from 30m resolution LandSat imagery of 2010.

Digital table data of Livestock population of Koshi Basin. The dataset is compiled using data sources from Statistical information on Nepalese agriculture, MoAD(2012); Economic Survey (2011/2012), Government of Bihar, India. Koshi basin consist more than 23 million big and medium sized livestock (cow, buffalo, sheep, goat and pig).

Digital table data of Livestock and livestock products of Koshi Basin. This dataset is compiled using data sources from Statistical information on Nepalese agriculture, MoAD(2012); Economic Survey (2011/2012), Government of Bihar, India.

Wheat is cultivated on more than 2.7 million hectares in Afghanistan annually, yet the country is dependent on imports to meet domestic demand. The timely estimation of domestic wheat production is highly critical to address any potential food security issues and has been identified as a priority by the Ministry of Agriculture Irrigation and Livestock (MAIL). In this study, we developed a system for in-season mapping of wheat crop area based on both optical (Sentinel-2) and synthetic aperture radar (SAR, Sentinel-1) data to support estimation of wheat cultivated area for management and food security planning. Utilizing a 2010 Food and Agriculture Organization (FAO) cropland mask, wheat sown area for 2017 was mapped integrating decision trees and machine learning algorithms in the Google Earth Engine cloud platform. Information from provincial crop calendars in addition to training and validation data from field-based surveys, and high-resolution Digitalglobe and Airbus Pleiades images were used for classification and validation. The total irrigated and rainfed wheat area were estimated as 912,525 and 562,611 ha, respectively for 2017. Province-wise accuracy assessments show the maximum accuracy of irrigated (IR) and rainfed (RF) wheat across provinces was 98.76 and 99%, respectively, whereas the minimum accuracy was found to be 48% (IR) and 73% (RF). The lower accuracy is attributed to the unavailability of reference data, cloud cover in the satellite images and overlap of spectral reflectance of wheat with other crops, especially in the opium poppy growing provinces. While the method is designed to provide estimation at different stages of the growing season, the best accuracy is achieved at the end of harvest using time-series satellite data for the whole season. The approach followed in the study can be used to generate wheat area maps for other years to aid in food security planning and policy decisions. Detail methodology and data quality information are described in the published article (Tiwari et.al 2020, Wheat Area Mapping in Afghanistan Based on Optical and SAR Time-Series Images in Google Earth Engine Cloud Environment, https://doi.org/10.3389/fenvs.2020.00077)

The dataset present the crop sown area for rice crop during 2010 - 2015.

Digital table data of Major Agricultural crop production of Koshi Basin. This dataset consists related to area and production of major agricultural crops such as cereals, vegetables, cash crops, oil-seed crops. The dataset is compiled using data sources from Statistical information on Nepalese agriculture, MoAD(2012); Economic Survey (2011/2012), Government of Bihar, India and IMHE Technical Report (2013).

Poverty and Vulnerability Assessment (PVA) is a district level household survey to understand vulnerability of households to environmental and socioeconomic changes with focus on mountain specificity as well as their coping strategies and adaptive capacity. Under the Adaptation to Change program, the Himalaya Climate Change Adaptation Programme (HICAP) initiative have conducted the survey among 2647 households across 7 districts in states of Assam and Arunanchal Pradesh in the Eastern Brahmaputra sub-basin in India. The households were selected following a probability based multi-stage cluster sampling approach.

The dataset showing agricultural statistics of meat production in Nepal. It consists of buff, mutton, goat, pig, chicken and duck for fiscal years from 2003/04 to 2013/14. The dataset is received from Ministry of Agricultural Development(MoAD), Nepal.