|
|
|
|
|
Katarzyna Golan, Izabela Kot, Katarzyna Kmiec and Edyta Górska-Drabik
Insect pests have major effects on agricultural production and food supply. Pest control in conventional crop management in orchards is mainly based on agrochemicals, which entails economic, health and environmental costs. Other approaches, such as biolo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qixun Xiao, Wenying Zheng, Yifan He, Zijie Chen, Fanxin Meng and Liyan Wu
The use of Internet of Things (IoT) technology for real-time monitoring of agricultural pests is an unavoidable trend in the future of intelligent agriculture. This paper aims to address the difficulties in deploying models at the edge of the pest monito...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ana Cláudia Teixeira, José Ribeiro, Raul Morais, Joaquim J. Sousa and António Cunha
Globally, insect pests are the primary reason for reduced crop yield and quality. Although pesticides are commonly used to control and eliminate these pests, they can have adverse effects on the environment, human health, and natural resources. As an alt...
ver más
|
|
|
|
|
|
|
|
|
|
|
Katell Crépon, Marine Cabacos, Félix Bonduelle, Faten Ammari, Marlène Faure and Séverine Maudemain
To reduce the use of insecticides, silo operators are reconsidering their practices and implementing integrated pest management (IPM) to manage insect infestations. IPM requires the early detection of insects to react before infestation spread or to isol...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bruno Cardoso, Catarina Silva, Joana Costa and Bernardete Ribeiro
With the increase of smart farming in the agricultural sector, farmers have better control over the entire production cycle, notably in terms of pest monitoring. In fact, pest monitoring has gained significant importance, since the excessive use of pesti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jayme Garcia Arnal Barbedo
Pest management is among the most important activities in a farm. Monitoring all different species visually may not be effective, especially in large properties. Accordingly, considerable research effort has been spent towards the development of effectiv...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adrián Cardil, Udayalakshmi Vepakomma and Lluis Brotons
Pine processionary moth (PPM) is one of the most destructive insect defoliators in the Mediterranean for many conifers, causing losses of growth, vitality and eventually the death of trees during outbreaks. There is a growing need for cost-effective moni...
ver más
|
|
|
|
|
|
|
|
|
|
|
Meixiang Chen, Liping Chen, Tongchuan Yi, Ruirui Zhang, Lang Xia, Cheng Qu, Gang Xu, Weijia Wang, Chenchen Ding, Qing Tang and Mingqi Wu
Traditional traps for Spodoptera frugiperda (J. E. Smith) monitoring require manual counting, which is time-consuming and laborious. Automatic monitoring devices based on machine vision for pests captured by sex pheromone lures have the problems of large...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dana Cirjak, Ivan Aleksi, Ivana Miklecic, Ana Marija Antolkovic, Rea Vrtodu?ic, Antonio Viduka, Darija Lemic, Tomislav Kos and Ivana Pajac ?ivkovic
The pear leaf blister moth is a significant pest in apple orchards. It causes damage to apple leaves by forming circular mines. Its control depends on monitoring two events: the flight of the first generation and the development of mines up to 2 mm in si...
ver más
|
|
|
|
|
|
|
|
|
|
|
C.D. Rullan-Silva,A.E. Olthoff,J.A. Delgado de la Mata,J.A. Pajares-Alonso
Pág. 377 - 391
Aim of study: This paper reviews the global research during the last 6 years (2007-2012) on the state, trends and potential of remote sensing for detecting, mapping and monitoring forest defoliation caused by insects.Area of study: The review covers rese...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lingyun Gao, Ran Yan, Wei He and Kongming Wu
The rice leaf folder, Cnaphalocrocis medinalis, is a significant migratory pest that restricts rice production in Asia and Africa, and monitoring and early warning measures are the basis for its management. Based on its regional migratory path in China, ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Grianggai Samseemoung, Peeyush Soni and Pimsiri Suwan
An image processing-based variable rate chemical sprayer for disease and pest-infested coconut plantations was designed and evaluated. The manual application of chemicals is considered risky and hazardous to workers, and provides low precision. The desig...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sitao Liu, Shenghui Fu, Anrui Hu, Pan Ma, Xianliang Hu, Xinyu Tian, Hongjian Zhang and Shuangxi Liu
Aiming at difficult image acquisition and low recognition accuracy of two rice canopy pests, rice stem borer and rice leaf roller, we constructed a GA-Mask R-CNN (Generative Adversarial Based Mask Region Convolutional Neural Network) intelligent recognit...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eirini Anastasaki, Aikaterini Psoma, Savvina Toufexi, Georgios Partsinevelos, Dimitrios Papachristos, Dimitrios Avtzis and Panagiotis Milonas
Curculio elephas is an oligophagous insect, attacking fruits of chestnut (Castanea spp.) and oak (Quercus spp.). It is considered one of the most important pests of European chestnut (Castanea sativa) in Europe and it occurs in a continuous range through...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiong Zheng, Wenjiang Huang, Qing Xia, Yingying Dong, Huichun Ye, Hao Jiang, Shuisen Chen and Shanyu Huang
Rice is an important food crop in China, and diseases and pests are the main factors threatening its safety, ecology, and efficient production. The development of remote sensing technology provides an important means for non-destructive and rapid monitor...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ovidiu Csillik, John Cherbini, Robert Johnson, Andy Lyons and Maggi Kelly
Remote sensing is important to precision agriculture and the spatial resolution provided by Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for measurement crop condition and yields over the growing season, for identify...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shreyas M. Guruprasad and Benjamin Leiding
The digital transformation of apiculture initially encompasses Internet of Things (IoT) systems, incorporating sensor technologies to capture and transmit bee-centric data. Subsequently, data analysis assumes a vital role by establishing correlations bet...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdul-Wadood Moomen, Lily Lisa Yevugah, Louvis Boakye, Jeff Dacosta Osei and Francis Muthoni
This paper assesses evidence-based applications of Remote Sensing for Sustainable and Precision Agriculture in the Northern Savanna Regions of Ghana for three decades (1990?2023). During this period, there have been several government policy intervention...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenjie Li, Wen Dong, Xin Zhang and Jinzhong Zhang
Remote sensing, the Internet, the Internet of Things (IoT), artificial intelligence, and other technologies have become the core elements of modern agriculture and smart farming. Agricultural production and management modes guided by data and services ha...
ver más
|
|
|
|
|
|
|
|
|
|
|
Felipe Lemus-Prieto, Juan Francisco Bermejo Martín, José-Luis Gónzalez-Sánchez and Enrique Moreno Sánchez
CultivData proposes the convergence of technologies, such as IoT, big data, HPC, open data and artificial intelligence, to apply HPDA (High Performance Data Analytics) to the cultivation of agricultural data and improve the efficiency and effectiveness o...
ver más
|
|
|
|
|
|