Results 1 to 10 of about 137,483 (300)
SP-YOLO: A Real-Time and Efficient Multi-Scale Model for Pest Detection in Sugar Beet Fields [PDF]
InsectsBeet crops are highly vulnerable to pest infestations throughout their growth cycle, which significantly affects crop development and yield. Timely and accurate pest identification is crucial for implementing effective control measures.
Ke Tang +6 more
doaj +2 more sources
Modeling and control of complex dynamic systems: Applied mathematical aspects [PDF]
, 2012 The concept of complex dynamic systems arises in many varieties, including the areas of energy generation, storage and distribution, ecosystems, gene regulation and health delivery, safety and security systems, telecommunications, transportation networks,
Gao, Chuanhou, Gao, Zhiwei, Kong, Dexing
core +2 more sources
Can crop disease control cope with climate change? [PDF]
, 2014 Crop yields need to increase by at least 70% over the next 35 years in order to meet the global demands for food due to the increasing population and changing dietary preferences towards meat and dairy products in developing nations.
Fitt, Bruce D.L., Qi, Aiming
core +2 more sources
HCFormer: A Lightweight Pest Detection Model Combining CNN and ViT
AgronomyPests are widely distributed in nature, characterized by their small size, which, along with environmental factors such as lighting conditions, makes their identification challenging.
Meiqi Zeng +4 more
doaj +1 more source
Frontiers in Plant ScienceThrips can damage over 200 species across 62 plant families, causing significant economic losses worldwide. Their tiny size, rapid reproduction, and wide host range make them prone to outbreaks, necessitating precise and efficient population monitoring ...
Zhangzhang He +11 more
doaj +1 more source
Frontiers in Plant ScienceThe rice weevil (Sitophilus oryzae L.) is one of the most destructive pests of stored cereal grains, particularly wheat, leading to considerable post-harvest losses and posing serious threats to global food security and international trade.
Kanika Nagpal +6 more
doaj +1 more source
A Lightweight Rice Pest Detection Algorithm Using Improved Attention Mechanism and YOLOv8
AgricultureIntelligent pest detection algorithms are capable of effectively detecting and recognizing agricultural pests, providing important recommendations for field pest control.
Jianjun Yin +3 more
doaj +1 more source
Remote Sensing, 2014 This paper describes the design and evaluation of an airborne multispectral imaging system based on two identical consumer-grade cameras for agricultural remote sensing.
Chenghai Yang +7 more
doaj +1 more source
Pest-YOLO: A YOLOv5-Based Lightweight Crop Pest Detection Algorithm
International Journal of Engineering and Technology InnovationTraditional crop pest detection methods face the challenge of numerous parameters and computations, making it difficult to deploy on embedded devices with limited resources. Consequently, a lightweight network is an effective solution to this issue. Based on you only look once (YOLO)v5, this paper aims to design and validate a lightweight and effective
openaire +1 more source
Journal of Integrative AgricultureCruciferous vegetables are important edible vegetable crops. However, they are susceptible to various pests during their growth process, which requires real-time and accurate monitoring of these pests for pest forecasting and scientific control.
Yufan Gao +7 more
doaj +1 more source