Growth is measured as change in some characteristic (weight, basal area, volume, etc.) over some specified amount of time and Yield is the amount of some characteristic that can be harvested per period or the total amount that could be removed at any time. PrimeOA Publications International is one of the leading Open Access Publishers which is running 700+ peer-reviewed journals. PrimeOA Publications through its Open Access Initiative is committed to make genuine and reliable contributions to the scientific community. It follows an Open Access publication model that enables the dissemination of research articles to the global community free of cost. Agrotechnology is one of the best open access, globally maiden journal with the wide range of area that deals with Agricultural research and to introduce various forms of technological developments. Agrotechnology is among the top Open Access journals which publish the articles related to Growth and Yield. Agrotechnology provide a forum for Scientists from all over the world to exchange ideas, to propagate the advancement of science.

In order to supply consumers with fresh products produced close to large cities, greenhouses are an efficient way to produce fresh vegetables and fruits requiring only a small production area. Next to that, climate change causes a need for more protected and controlled crop cultivation, and greenhouses can ensure high yields and product quality. While greenhouse production is related to high water use efficiency and low pesticide use compared to outside production, it is also related to higher energy consumption and higher need for skilled labor. A greenhouse grower needs to make many decisions to maximize their production and to minimize their resources. Crop and greenhouse climate models and/or new intelligent algorithms can help the grower to oversee all the information needed and help to make complex decisions to predict yields and resource use.

In recent years, work has been done on dynamic greenhouse climate modeling and to describe crop production and development related to these climate parameters in crop models. In commercial greenhouses, data are collected mainly on environmental factors and resource use; however, objective data on crop physiological and product quality parameters are widely lacking. Moreover, uncertainty in data and models and a lack of fully understanding crop physiology and quality are a challenge on the way towards “intelligent” greenhouses.

This Special Issue will focus on the production of horticultural crops in intelligent greenhouses. We welcome novel research or reviews covering all related topics, including new crop models for yield or quality prediction, new self-learning algorithms, new sensors and interpretation of their data in relation to crop response, research to understand crop physiology, growth and development to make intelligent greenhouses possible, and case-studies where such models or algorithms are applied.Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process.Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Keywords

Crop modelling

Greenhouse climate modelling

Artificial intelligence

Crop quality

Crop physiology

Resource efficiency

Data

Sensors

Last Updated on: Nov 23, 2024