Zobrazeno 1 - 10
of 1 181
pro vyhledávání: '"Crop Monitoring"'
Autor:
Stamenković Zoran, Kešelj Krstan, Kostić Marko, Aćin Vladimir, Tekić Dragana, Ivanišević Mladen, Novaković Tihomir
Publikováno v:
Contemporary Agriculture, Vol 73, Iss 3-4, Pp 157-164 (2024)
Precision agriculture has increasingly incorporated the use of Unmanned Aerial Vehicles (UAVs) equipped with multispectral cameras. This study examined the influence of different UAV flight altitudes on the Normalized Difference Vegetation Index (NDV
Externí odkaz:
https://doaj.org/article/ffc723b00708432b81cbd14c343daa7c
Autor:
Vikneswaran Jeya Kumaran, Nur Adibah Mohidem, Nik Norasma Che’Ya, Wan Fazilah Fazlil Ilahi, Jasmin Arif Shah, Zulhilmy Sahwee, Norhakim Yusof, Mohammad Husni Omar
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 4, Pp 628-636 (2024)
There is very little to no literature on the use of geotagging to monitor crops from aerial photos, even though many technologies have been created to do so. Current crop monitoring methods, relying on field data and lab analysis, are inefficient due
Externí odkaz:
https://doaj.org/article/d47150e215c14c2481347432418815e3
Autor:
Marius-Alexandru Dinca, Dan Popescu, Loretta Ichim, Nicoleta Angelescu, Cristina Maria Pinotti
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100548- (2024)
Accurate and early detection of insect pests plays an important role in crop protection and pest management in agriculture, especially in orchards. This paper is focused on evaluating and improving the performance of insect detection algorithms by ad
Externí odkaz:
https://doaj.org/article/91c5621b611340f4a0a39c172f723d4c
Autor:
C. Rajadel-Lambistos, E. Izquierdo-Verdiguier, A. Moreno-Martínez, M. P. Maneta, S. Begueria, J. S. Kimball, N. Clinton, C. Atzberger, G. Camps-Valls, S.W. Running
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Timely and accurate crop acreage information is essential for food security and the informed decision-making by governmental bodies and stakeholders in the agro-economic system. Surveys and fieldwork are expensive and time consuming, and the informat
Externí odkaz:
https://doaj.org/article/ef4a452d39bf45249fca2b41f7f93b47
AppleLeafNet: a lightweight and efficient deep learning framework for diagnosing apple leaf diseases
Autor:
Muhammad Umair Ali, Majdi Khalid, Majed Farrash, Hassan Fareed M. Lahza, Amad Zafar, Seong-Han Kim
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Accurately identifying apple diseases is essential to control their spread and support the industry. Timely and precise detection is crucial for managing the spread of diseases, thereby improving the production and quality of apples. However, the dev
Externí odkaz:
https://doaj.org/article/b59d6248510742a5a83ac49dc4ffe07b
Autor:
Manish Yadav, B.B. Vashisht, Niharika Vullaganti, Prem Kumar, S.K. Jalota, Arun Kumar, Prashant Kaushik
Publikováno v:
Agricultural Water Management, Vol 304, Iss , Pp 109091- (2024)
In recent years, precision agriculture has seen a substantial increase in the use of unmanned aerial vehicles (UAVs). They have shown great potential in spraying, nutrient application, irrigation scheduling, field mapping, yield estimation, and crop
Externí odkaz:
https://doaj.org/article/e9baf9b077174340bf1c8f39ccacbec6
Publikováno v:
Information Processing in Agriculture, Vol 11, Iss 2, Pp 228-236 (2024)
Crop height measurement is widely used to analyze and estimate the overall crop condition and the amount of biomass production. Not only is manual measurement on a large scale time-consuming but also it is not practical. Besides, advanced equipment i
Externí odkaz:
https://doaj.org/article/ed981491fb9344e6bc075ad0bc0601fb
Autor:
Vijendra Kumar, Kul Vaibhav Sharma, Naresh Kedam, Anant Patel, Tanmay Ram Kate, Upaka Rathnayake
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100487- (2024)
The article provides a comprehensive review of the use of the Internet of Things (IoT) in agriculture, along with its advantages and disadvantages. However, it's important to recognize that IoT holds immense potential for generating new ideas that co
Externí odkaz:
https://doaj.org/article/714c0d8a0b5041d69a3147a5525c1793
Autor:
Manal Abdullah Alohali, Fuad Al-Mutiri, Kamal M. Othman, Ayman Yafoz, Raed Alsini, Ahmed S. Salama
Publikováno v:
AIMS Mathematics, Vol 9, Iss 4, Pp 10185-10207 (2024)
Smart agricultural techniques employ current information and communication technologies, leveraging artificial intelligence (AI) for effectually managing the crop. Recognizing rice seedlings, which is crucial for harvest estimation, traditionally dep
Externí odkaz:
https://doaj.org/article/cea514d6cecf46f0948b96104641caa7
Autor:
Khilola Amankulova, Nizom Farmonov, Enas Abdelsamei, Jozsef Szatmari, Waleed Khan, Mohamed Zhran, Jamshid Rustamov, Sharifboy Akhmedov, Maksudxon Sarimsakov, Laszlo Mucsi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13694-13707 (2024)
This study aimed to develop a new method for combining Sentinel-2 and PlanetScope (PS) imagery. The normalized difference vegetation indices (NDVI) data were retrieved from the Earth observation satellites S2 Level-2A and PS Level-3 surface reflectan
Externí odkaz:
https://doaj.org/article/a2aab4c8ef234bf8946545c2058c5b43