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In contrast to the rapid digitalization of several industries, agriculture suffers from low adoption of climate-smart farming tools. Even though AI-driven digital agriculture can offer high-performing predictive functionalities, it lacks…

In contrast to the rapid digitalization of several industries, agriculture suffers from low adoption of smart farming tools. While AI-driven digital agriculture tools can offer high-performing predictive functionalities, they lack tangible…

Experimental corn hybrids are created in plant breeding programs by crossing two parents, so-called inbred and tester, together. Identification of best parent combinations for crossing is challenging since the total number of possible cross…

机器学习 · 计算机科学 2020-05-26 Saeed Khaki , Zahra Khalilzadeh , Lizhi Wang

Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future. However, optimisation is required for insect production to…

Background: Plant breeders are utilising an increasingly diverse range of data types in order to identify lines that have desirable characteristics which are suitable to be taken forward in plant breeding programmes. There are a number of…

人机交互 · 计算机科学 2014-07-15 Paul D. Shaw , Martin Graham , Jessie Kennedy , Iain Milne , David F. Marshall

We present a new Markov chain Monte Carlo algorithm, implemented in software Arbores, for inferring the history of a sample of DNA sequences. Our principal innovation is a bridging procedure, previously applied only for simple stochastic…

统计计算 · 统计学 2019-03-06 Kari Heine , Alex Beskos , Ajay Jasra , David Balding , Maria De Iorio

Digital agriculture has the promise to transform agricultural throughput. It can do this by applying data science and engineering for mapping input factors to crop throughput, while bounding the available resources. In addition, as the data…

计算机与社会 · 计算机科学 2020-01-28 Somali Chaterji , Nathan DeLay , John Evans , Nathan Mosier , Bernard Engel , Dennis Buckmaster , Ranveer Chandra

The rapid advances in the field of optimization methods in many pure and applied science pose the difficulty of keeping track of the developments as well as selecting an appropriate technique that best suits the problem in-hand. From a…

神经与进化计算 · 计算机科学 2011-12-30 Loris Serafino

In general. automated farming systems make decisions based on static models built from the properties of the plant. in the contrast, irrigation decisions in our suggested method are dynamically changing environmental conditions. the model"s…

系统与控制 · 电气工程与系统科学 2023-04-18 Kawsalyaa Manivannan , Bharathi Sankar

This paper proposes a new numerical optimization algorithm inspired by the strawberry plant for solving complicated engineering problems. Plants like strawberry develop both runners and roots for propagation and search for water resources…

神经与进化计算 · 计算机科学 2014-07-29 F. Merrikh-Bayat

Ongoing standardization in Industry 4.0 supports tool vendor neutral representations of Piping and Instrumentation diagrams as well as 3D pipe routing. However, a complete digital plant model requires combining these two representations. 3D…

系统与控制 · 电气工程与系统科学 2021-04-06 Seppo Sierla , Mohammad Azangoo , Alexander Fay , Valeriy Vyatkin , Nikolaos Papakonstantinou

This article treats the issue of remote monitoring and control of greenhouse environment through a distributed system that interconnects several subsystems. Thus, a wireless data acquisition subsystem, a fully automated subsystem made of…

计算机与社会 · 计算机科学 2017-03-22 Alexandru Dumitraşcu , Dan Ştefănoiu , Janetta Culiţă , Ionut Tomiţa

Crossover and mutation are the two main operators that lead to new solutions in evolutionary approaches. In this article, a new method of performing the crossover phase is presented. The problem of choice is evolutionary decision tree…

神经与进化计算 · 计算机科学 2021-05-11 Maciej Świechowski

Weed scouting is an important part of modern integrated weed management but can be time consuming and sparse when performed manually. Automated weed scouting and weed destruction has typically been performed using classification systems…

计算机视觉与模式识别 · 计算机科学 2017-02-28 David Hall , Feras Dayoub , Jason Kulk , Chris McCool

Today, crop diversification in agriculture is a critical issue to meet the increasing demand for food and improve food safety and quality. This issue is considered to be the most important challenge for the next generation of agriculture…

机器学习 · 计算机科学 2024-12-24 Ozlem Turgut , Ibrahim Kok , Suat Ozdemir

The vast amounts of data used in social, business or traffic networks, biology and other natural sciences are often managed in graph-based data sets, consisting of a few thousand up to billions and trillions of vertices and edges,…

数据库 · 计算机科学 2021-10-22 Matthias Hauck , Ismail Oukid , Holger Fröning

A software program which aims to provide an exploration capability over the Search Space of potential drug molecules. The program explores the search space by generating random molecules, determining their fitness and then breeding a new…

神经与进化计算 · 计算机科学 2014-03-20 Mark Shackelford

Informally, a grassroots system is a distributed system that can have multiple instances, independent of each other and of any global resources, that can interoperate once interconnected. Grassroots applications are potentially important as…

网络与互联网体系结构 · 计算机科学 2026-02-04 Ehud Shapiro

Microorganisms are found in almost every environment, including the soil, water, air, and inside other organisms, like animals and plants. While some microorganisms cause diseases, most of them help in biological processes such as…

机器学习 · 计算机科学 2023-09-28 Daniel Agyapong , Jeffrey Ryan Propster , Jane Marks , Toby Dylan Hocking

Insect production for food and feed presents a promising supplement to ensure food safety and address the adverse impacts of agriculture on climate and environment in the future. However, optimisation is required for insect production to…

计算机视觉与模式识别 · 计算机科学 2024-06-27 Min Ren , Yunlong Wang , Yuhao Zhu , Yongzhen Huang , Zhenan Sun , Qi Li , Tieniu Tan