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Insects are the most important global pollinator of crops and play a key role in maintaining the sustainability of natural ecosystems. Insect pollination monitoring and management are therefore essential for improving crop production and…

Computer Vision and Pattern Recognition · Computer Science 2022-12-06 Malika Nisal Ratnayake , Don Chathurika Amarathunga , Asaduz Zaman , Adrian G. Dyer , Alan Dorin

With the global population increasing and arable land resources becoming increasingly limited, smart and precision agriculture have emerged as essential directions for sustainable agricultural development. Artificial intelligence (AI),…

Machine Learning · Computer Science 2025-10-15 Xing Hu , Haodong Chen , Qianqian Duan , Dawei Zhang

Effective pest management is crucial for enhancing agricultural productivity, especially for crops such as sugarcane and wheat that are highly vulnerable to pest infestations. Traditional pest management methods depend heavily on manual…

Computer Vision and Pattern Recognition · Computer Science 2026-01-05 Anirudha Ghosh , Ritam Sarkar , Debaditya Barman

Insect-pests significantly impact global agricultural productivity and quality. Effective management involves identifying the full insect community, including beneficial insects and harmful pests, to develop and implement integrated pest…

The purpose of the Insect Detection System for Crop and Plant Health is to keep an eye out for and identify insect infestations in farming areas. By utilizing cutting-edge technology like computer vision and machine learning, the system…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Md. Mahmudul Hasan , SM Shaqib , Ms. Sharmin Akter , Rabiul Alam , Afraz Ul Haque , Shahrun akter khushbu

Smart farming and precision agriculture represent game-changer technologies for efficient and sustainable agribusiness. Miniaturized palm-sized drones can act as flexible smart sensors inspecting crops, looking for early signs of potential…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Luca Crupi , Luca Butera , Alberto Ferrante , Daniele Palossi

Agricultural losses to pest represent an important challenge in a global warming scenario. Intercropping is an alternative farming practice that promotes pest control without the use of chemical pesticides. Here we develop a mathematical…

Populations and Evolution · Quantitative Biology 2019-09-11 Alfonso Allen-Perkins , Ernesto Estrada

One of the biggest challenges that the farmers go through is to fight insect pests during agricultural product yields. The problem can be solved easily and avoid economic losses by taking timely preventive measures. This requires…

Computer Vision and Pattern Recognition · Computer Science 2023-10-27 Mohtasim Hadi Rafi , Mohammad Ratul Mahjabin , Md Sabbir Rahman

The Red Palm Weevil (RPW) is a highly destructive insect causing economic losses and impacting palm tree farming worldwide. This paper proposes an innovative approach for sustainable palm tree farming by utilizing advanced technologies for…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Yosra Hajjaji , Ayyub Alzahem , Wadii Boulila , Imed Riadh Farah , Anis Koubaa

We investigate a mathematical model in crop pest controlling, considering plant biomass, pest, and the effect of farming awareness. The pest population is divided into two compartments: susceptible pests and infected pests. We assume that…

Optimization and Control · Mathematics 2022-01-28 Teklebirhan Abraha , Fahad Al Basir , Legesse Lemecha Obsu , Delfim F. M. Torres

Artificial intelligence has smoothly penetrated several economic activities, especially monitoring and control applications, including the agriculture sector. However, research efforts toward low-power sensing devices with fully functional…

Machine Learning · Computer Science 2021-08-03 Andrea Albanese , Matteo Nardello , Davide Brunelli

The classification of insect pests is a critical task in agricultural technology, vital for ensuring food security and environmental sustainability. However, the complexity of pest identification, due to factors like high camouflage and…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Qianning Wang , Chenglin Wang , Zhixin Lai , Yucheng Zhou

Plant diseases are major causes of production losses and may have a significant impact on the agricultural sector. Detecting pests as early as possible can help increase crop yields and production efficiency. Several robotic monitoring…

Robotics · Computer Science 2023-08-29 Adi Yehoshua , Yael Edan

The Internet of Things (IoT) is emerging as a multi-purpose technology with enormous potential for improving the quality of life in several areas. In particular, IoT has been applied in agriculture to make it more sustainable ecologically.…

Computer Vision and Pattern Recognition · Computer Science 2020-04-10 Vitor Alexandre Campos Figueiredo , Samuel Mafra , Joel Rodrigues

Invasive species are a major cause of ecological damage and commercial losses. A current problem spreading in North America and Europe is the vinegar fly Drosophila suzukii. Unlike other Drosophila, it infests non-rotting and healthy fruits…

Human-Computer Interaction · Computer Science 2017-10-20 Daniel Seebacher , Johannes Häußler , Michael Hundt , Manuel Stein , Hannes Müller , Ulrich Engelke , Daniel Keim

As the global population grows and climate change intensifies, sustainable food production is critical. Marine aquaculture offers a viable solution, providing a sustainable protein source. However, the industry's expansion requires novel…

Machine Learning · Computer Science 2024-06-11 Eirini Katsidoniotaki , Biao Su , Eleni Kelasidi , Themistoklis P. Sapsis

With the help of a digital twin structure, Agriculture 4.0 technologies like weather APIs (Application programming interface), GPS (Global Positioning System) modules, and NPK (Nitrogen, Phosphorus and Potassium) soil sensors and machine…

Machine Learning · Computer Science 2025-02-07 Sayan Banerjee , Aniruddha Mukherjee , Suket Kamboj

Pesticides serve as a common tool in agricultural pest control but significantly contribute to the climate crisis. To combat this, Integrated Pest Management (IPM) stands as a climate-smart alternative. Despite its potential, IPM faces low…

Disease and pest control largely rely on pesticides use and progress still remains to be made towards more sustainable practices. Pest Monitoring Networks (PMNs) can provide useful information for improving crop protection by restricting…

Populations and Evolution · Quantitative Biology 2020-02-05 Marie-Josée Cros , Jean-Noël Aubertot , Sabrina Gaba , Xavier Reboud , Régis Sabbadin , Nathalie Peyrard

In response to the increasing global demand for food, feed, fiber, and fuel, digital agriculture is rapidly evolving to meet these demands while reducing environmental impact. This evolution involves incorporating data science, machine…

Computers and Society · Computer Science 2023-12-07 Ribana Roscher , Lukas Roth , Cyrill Stachniss , Achim Walter
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