Aim & Scope
Information Processing in Agriculture (IPA) was established in 2013 and it encourages the development towards a science and technology of information processing in agriculture, through the following aims: Promote the use of knowledge and methods from the information processing technologies in the agriculture; Illustrate the experiences and publications of the institutes, universities and government, and also the profitable technologies on agriculture; Provide opportunities and platform for exchanging knowledge, strategies and experiences among the researchers in information processing worldwide; Promote and encourage interactions among agriculture Scientists, Meteorologists, Biologists (Pathologists/Entomologists) with IT Professionals and other stakeholders to develop and implement methods, techniques, tools, and issues related to information processing technology in agriculture; Create and promote expert groups for development of agro-meteorological databases, crop and livestock modelling and applications for development of crop performance based decision support system. Topics of interest include, but are not limited to: Smart Sensor and Wireless Sensor Network; Remote Sensing; Simulation, Optimization, Modeling and Automatic Control; Decision Support Systems, Intelligent Systems and Artificial Intelligence; Computer Vision and Image Processing; Inspection and Traceability for Food Quality; Precision Agriculture and Intelligent Instrument; The Internet of Things and Cloud Computing; Big Data and Data Mining. [1]
2024
P Towers , S Roulet , C Poblete-Echeverría
Information Processing in Agriculture , 2024
0
44
Detection of cucumber downy mildew spores based on improved YOLOv5s
C Qiao , K Li , X Zhu , ... , L Zhang
Information Processing in Agriculture , 2024
0
31
Disturbance rejection control method of agricultural quadrotor based on adaptive neural network
L Wenxin , X Pengyang , C Jian
Information Processing in Agriculture , 2024
0
20
C Simhadri , H Kondaveeti , V Vatsavayi , ... , P Ananthachari
Information Processing in Agriculture , 2024
0
0
Few-shot cow identification via meta-learning
X Xu , Y Wang , Y Shang , ... , H Song
Information Processing in Agriculture , 2024
0
0
GIS spatial optimization for agricultural crop allocation using NSGA-II
T Krityakierne , P Sinpayak , N Khiripet
Information Processing in Agriculture , 2024
0
0
I Bouacida , B Farou , L Djakhdjakha , ... , M Kurulay
Information Processing in Agriculture , 2024
1
0