Crop Prediction Articles & Analysis
10 articles found
From climate change and disease, to declining production and uncertainties around tariffs and trade, the global orange juice sector is going through unprecedented upheaval, which will result in winners and losers for both growers and ...
The impact of potential future climate change scenarios on the irrigation water requirements (IRRs) of two major agricultural crops (coffee and seed corn) in Hawai'i was studied using the Irrigation Management System (IManSys) model. ...
In this paper, the calibration and prediction capacity of a supply response positive mathematical programming model (PMP) for the Alentejo region are evaluated. ...
Real-time prediction of daily reference crop evapotranspiration (ET0) is the basis for estimating crop evapotranspiration and for computing crop irrigation requirements. ...
Previous research has demonstrated the importance and statistical significance of the photothermal quotient (PTQ) to predict and explain wheat (Triticum aestivum L.) yields. The objective of this study is to respecify PTQ to enhance the explanatory power of statistical models used to explain grains per square meter (GM–2), and increase understanding of weather's impact on yields. ...
Accurate crop development models are important tools in evaluating the effects of water deficits on crop yield or productivity. The FAO AquaCrop model predicts crop productivity, water requirement, and water use efficiency (WUE) under water-limiting conditions. ...
Agriculture is the backbone of economic and social development in Sudan, with 80% of the population depending on agriculture and all other sectors being largely dependent on it. Food security information is the key to food security and its timely availability, reliability and usability not only averts disaster, but also leads to developments that improve people's livelihoods (Mati, 2005). Food ...
The Illinois soil N test has been developed to predict crop response to applied N by measuring the amount of amino sugar N in the soil. ...
Andalusia (southern Spain) is the largest olive (Olea europaea L.) oil producing region in the world. This study sought to identify the main factors influencing olive fruit production in this region, by modeling pollen release as an index of flowering intensity, field floral phenology data, and meteorological data over the fruiting season in three main olive-producing provinces of Andalusia: ...
Incremental changes in soil N associated with the pulse crops (i.e., the nitrogen increment, Ninc), were strongly correlated to N2 fixation and were highly variable. Data suggest that crops that can achieve relatively high levels of N2 fixation, such as faba bean, field pea, and lentil are more likely to contribute positively to the overall N economy, ...