Investigating capability of open archive multispectral and SAR datasets for Wheat crop monitoring and acreage estimation studies

2021 ◽  
Author(s):  
Manjari Upreti ◽  
Deepak Kumar
Keyword(s):  
Wheat Crop ◽  
Crop Monitoring ◽  
Acreage Estimation

scholarly journals Genetic Algorithm Optimized Node Deployment in IEEE 802.15.4 Potato and Wheat Crop Monitoring Infrastructure

2020 ◽  
Author(s):  
Pankaj Pal ◽  
Rashmi Sharma ◽  
Sachin Tripathi ◽  
Chiranjeev Kumar ◽  
Dharavath Ramesh
Keyword(s):  
Ieee 802.15.4 ◽  
Path Loss ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wheat Crop ◽  
Growth Stages ◽  
Node Deployment ◽  
Initial Node ◽  
Crop Monitoring ◽  
Vegetation Height

Abstract This proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring.

scholarly journals Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pankaj Pal ◽  
Rashmi Priya Sharma ◽  
Sachin Tripathi ◽  
Chiranjeev Kumar ◽  
Dharavath Ramesh
Keyword(s):  
Ieee 802.15.4 ◽  
Path Loss ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Wheat Crop ◽  
Growth Stages ◽  
Node Deployment ◽  
Initial Node ◽  
Crop Monitoring ◽  
Vegetation Height

AbstractThis proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring.

scholarly journals WEED DETECTION IN WHEAT CROP USING UAV for PRECISION AGRICULTURE

2019 ◽  
Vol 56 (03) ◽  
pp. 775-784
Author(s):  
Ahmed Mateen
Keyword(s):  
Precision Agriculture ◽  
Vegetation Index ◽  
Wheat Crop ◽  
Connected Component ◽  
Weed Detection ◽  
Wheat Field ◽  
Crop Monitoring ◽  
Object Based Image Analysis ◽  
The Core ◽  
Object Based

Agriculture plays a significant role in overall GDP of any country. So, there are several efforts those are being made to develop and increase the crop yield. In any of crop, weed i.e. (unwanted crops) is the major concern that may leads to poor production of crop. Therefore, an automatic crop monitoring system is required to monitor the weed. This system will help the farmers to monitor the crops, in gradual fashion, once it has been cultivated. Then specific Vegetation Index (VI) would be applied to locate all green portions in the image that would be part of early wheat crop or weed patches. We used Object Based Image Analysis (OBIA) algorithm to detect the weed patches in RGB and Multispectral imagery captured by UAV at 30-60 m altitude is used to acquire the images of wheat fields. Once the weed patches successfully identified from between the crop rows and within the crop rows then connected component-based classification technique is used that successfully classify the detected object either the object is related to weed patches or actual crop. The core objective of this work is to lessen the human involvement and to introduce the latest techniques and computation technology, peculiarly to identify the weed patches within the crop rows as well as between the crop rows in wheat field. Moreover, exploitation of UAV technology is also the core objective that will significantly provide the site specifically herbicides spraying

Quality benefits and failures induced by agronomic treatments in wheat crop

2007 ◽  
Vol 35 (2) ◽  
pp. 1141-1144
Author(s):  
Dezső Szalay ◽  
Helga Klupács
Keyword(s):  
Wheat Crop

Herbicidal potential of Aerva javanica to control wild oat in wheat crop

2020 ◽  
Vol 51 (2) ◽  
pp. 177-194
Author(s):  
Al-Ghamdi A.M. ◽  
El-Zohri M
Keyword(s):  
Dry Weight ◽  
Soluble Carbohydrates ◽  
Wheat Crop ◽  
Aqueous Extracts ◽  
Wild Oat ◽  
Culture Experiment ◽  
Allelopathic Potential ◽  
Root Extracts ◽  
Wheat Germination ◽  
Radical Length

We investigated the phytotoxicity of desert cotton (Aerva javanica) extracts on wild oat and wheat. Aqueous extracts from A. javanica roots, leaves and inflorescences collected from Jeddah and Al-Baha regions, Saudi Arabia were used. Generally, the allelopathic potential of water extracts of A. javanica collected from Jeddah were more in inhibitory to wild oat germination and seedlings growth than those from Al-Baha. In both regions, root extracts were inhibitory to wild oat followed by leaves and inflorescences extracts. All test aqueous extracts of both regions did not inhibit the wheat germination or seedlings growth.Whreas, the wild oat germination was reduced by root extracts 58.62 %, 28.62 % leaves extracts : 32.72 %, 17.72 % and inflorescences extract 28.11 %, 12.13 % by in plants samples collected from Jeddah and Al-Baha, respectively. Wild oat radical length was inhibited by root extracts 53.27 %, 32.84 % leaves 42.35 %, 9.63 % and inflorescences extracts 22.64 %, 16.75 % in case of Jeddah and Al-Baha plants, respectively. In pot culture experiment, all treatments markedly reduced the plant dry weight and soluble carbohydrates, proteins and free amino acids contents in wild oat. The differences in the allelopathic potentials of studied A. javanica extracts were related to the qualitative variations in their phytochemicals constituents. Our results showed that A. javanica extracts could be safely used to control wild oat growth in wheat fields after more detsaled research..

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