Durian (Durio zibethinus) is known as a plant that has fairly high economic value which widely planted on community land in Pangkatan District, Lauhanbatu Regency, North Sumatra Province. This study aims to evaluate the suitability class for durian an agroforestry Pangkatan, Labuhanbatu Regency. Research activities include several stages of activities, namely: preparation, survey, soil analysis...

Schmidt Ferguson map based on rainfall data is utilized to maximize agricultural potential by knowing the spatial pattern of agro-climatic zones. This study aims produce zone corrected IMERG Satellite station base in Bali Province. The length monthly from each source six years (2015 – 2016). Initially, Final Precipitation level 3 validated 73 observation stations over Bali. Statistical methods ...

Background: For better water resources management in the areas of shortage for crop production, deficit irrigation is very important. The understanding yield response factor to crucial efficient management. Deficit studying factors always practiced way stressing demand crops. present study was done determination seasonal red Bombay onion variety under Arba Minch agro climate condition. Furtherm...

Due to it having the lowest priority for water allocation during drought events and consequent agronomic economic impacts of abstraction restrictions, UK irrigated agriculture has been identified as a key business sector ‘at risk’. An enhanced version D-Risk webtool developed help agricultural stakeholders catchment managers evaluate joint multi-scale risks restrictions (voluntary mandatory) in...

This work develops a statistical model to assess the frost risk in Rafsanjan, one of the largest pistachio production regions in the world. These models can be used to estimate the probability that a frost happens in a given time-period during the year; a frost happens after 10 warm days in the growing season. These probability estimates then can be used for: (1) assessing the agroclimate risk ...

Abstract In pasture-based dairy production systems, identifying the appropriate stocking rate (SR; cows/ha) based on farm grass growth is a key strategic decision for driving overall business. This paper investigates number of scenarios examining effects SR (2–3 cows/ha (0.25 unit changes)), annual nitrogen (N) fertilizer application rates (0–300 kg N/ha (50 kg/ha soil type (heavy and free-drai...

• Forecasting capability of coffee yield models at the farm scale was assessed. The modelling approach involved Bayesian and machine learning methods. Potential predictors included data, agroclimatic remotely sensed indices. Coffee yields were predicted with reasonable accuracies. In-season models’ forecast skills depend on data availability selected predictors. Timely reliable forecasts using ...