Crop Yield Prediction Articles & Analysis
6 articles found
The integration of agricultural data analytics into farming practices has become increasingly essential. This approach, often termed “smart farming” or “precision farming” uses farm-level data to enhance productivity, sustainability, and profitability. In India, where agriculture is a vital sector supporting the livelihood of millions, the strategic use of data can ...
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. ...
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 ...
This article introduces the FAO crop model AquaCrop. It simulates attainable yields of major herbaceous crops as a function of water consumption under rainfed, supplemental, deficit, and full irrigation conditions. The growth engine of AquaCrop is water-driven, in that transpiration is calculated first and translated into biomass using a conservative, crop-specific parameter: the biomass water ...
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 ...
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: ...