Real-Time Crop Monitoring in Agriculture

2021 ◽  
pp. 230-242
Author(s):  
Sumit Pahuja ◽  
Garima Singh ◽  
Prabhjot Singh
Keyword(s):  
Soil Moisture ◽  
Air Quality ◽  
Plant Growth ◽  
Real Time ◽  
Agricultural Sector ◽  
Weather Forecasts ◽  
Crop Monitoring ◽  
Farmer Suicides ◽  
Increasing Demand ◽  
Indigenous Methods

In many countries like India, farming is done using indigenous methods. Because of lack of proper knowledge in our farmers, the state of the agricultural sector becomes even more critical. Since the farming methodologies rely mostly on weather forecasts and predictions which might not be foolproof, most often the farmers incur huge losses leading to debts and mass farmer suicides. Adequate soil moisture, soil quality, air quality, and proper irrigation play a major role in the yield of crops, and hence, such factors cannot be overlooked. A major concern now is the exploding population due to which the agricultural supplies are not meeting the ever-increasing demand. The world's population is expected to cross nine billion marks by 2050 due to which the agricultural supply should increase at least by 70% to meet the requirement. To achieve this, it's necessary to monitor the plant growth at all stages starting from sowing until cultivation.

scholarly journals Probabilistic forecasting of shallow, rainfall-triggered landslides using real-time numerical weather predictions

2008 ◽  
Vol 8 (2) ◽  
pp. 349-357 ◽  
Author(s):  
J. Schmidt ◽  
G. Turek ◽  
M. P. Clark ◽  
M. Uddstrom ◽  
J. R. Dymond
Keyword(s):  
Soil Moisture ◽  
New Zealand ◽  
Real Time ◽  
Numerical Weather Prediction ◽  
Weather Prediction ◽  
Hydrologic Model ◽  
Local Scale ◽  
Weather Forecasts ◽  
Numerical Weather ◽  
Infinite Slope Stability Model

Abstract. A project established at the National Institute of Water and Atmospheric Research (NIWA) in New Zealand is aimed at developing a prototype of a real-time landslide forecasting system. The objective is to predict temporal changes in landslide probability for shallow, rainfall-triggered landslides, based on quantitative weather forecasts from numerical weather prediction models. Global weather forecasts from the United Kingdom Met Office (MO) Numerical Weather Prediction model (NWP) are coupled with a regional data assimilating NWP model (New Zealand Limited Area Model, NZLAM) to forecast atmospheric variables such as precipitation and temperature up to 48 h ahead for all of New Zealand. The weather forecasts are fed into a hydrologic model to predict development of soil moisture and groundwater levels. The forecasted catchment-scale patterns in soil moisture and soil saturation are then downscaled using topographic indices to predict soil moisture status at the local scale, and an infinite slope stability model is applied to determine the triggering soil water threshold at a local scale. The model uses uncertainty of soil parameters to produce probabilistic forecasts of spatio-temporal landslide occurrence 48~h ahead. The system was evaluated for a damaging landslide event in New Zealand. Comparison with landslide densities estimated from satellite imagery resulted in hit rates of 70–90%.

scholarly journals Application of GIS and RS in real time crop monitoring and yield forecasting: a case study of cotton fields in low and high productive farmlands

2021 ◽  
Vol 227 ◽  
pp. 03001
Author(s):  
Zokhid Mamatkulov ◽  
Eshkobil Safarov ◽  
Rustam Oymatov ◽  
Ilhom Abdurahmanov ◽  
Maksud Rajapbaev
Keyword(s):  
Real Time ◽  
Vegetation Index ◽  
Agricultural Sector ◽  
Vegetation Development ◽  
Ground Truth Data ◽  
Crop Monitoring ◽  
Multi Temporal ◽  
Gis And Rs ◽  
Yield Forecasting ◽  
Cotton Fields

Badland reclamation and low productive farmlands always have been one of the most detrimental effects on the national economy, typically in agricultural sector of Uzbekistan. Nonetheless, such kind of lands has been used extensively for major crops like cotton and winter wheat. However, it is difficult to assessing real productivity of them. Advanced technologies as GIS and RS are vital tool for geospatially analysing and making decisions on this type of fields. This research was carried out for real-time crop monitoring and yield forecasting in case of low productive (3.5 ha) and high productive (8.3 ha) cotton areas of Jarkurgan district (Surkhandarya region, Uzbekistan) based on geospatial analyses of multi-temporal satellite images, condition of groundwater, soil salinity, and ground truth data. For monitoring vegetation phenology of cotton and forecasting its harvest, False Colour, NDVI (Normalized Difference Vegetation Index) and SI (Salinity Index) analyses of areas were carried out by using 6 temporal windows of multi-temporal Sentinel 2 from April through August 2019. Besides, groundwater condition data which was obtained from observation wells these located in massives consists of both cotton fields was analysed by IDW (Inverse Distance Weighting) interpolation algorithm method to determine groundwater’s effect to vegetation development and yield.

scholarly journals Control of Plant Growth by Monitoring Soil Moisture, Temperature and Humidity in Dry Climate

2021 ◽  
Vol 1192 (1) ◽  
pp. 012027
Author(s):  
N K Madzhi ◽  
M A Nor Akhsan
Keyword(s):  
Soil Moisture ◽  
Plant Growth ◽  
Real Time ◽  
Stem Diameter ◽  
Water Volume ◽  
Moisture Effect ◽  
Effect Rate ◽  
Temperature And Humidity

Abstract Monitoring of environment parameter such as soil moisture, temperature and humidity are important parts of plant growth. This paper focused on the development of an instrumentation system and analysis on the effect of the water volume to the soil moisture, effect rate of soil moisture, temperature and humidity for an indoor greenhouse. Data were collected through two experiment. First experiment focused on effect volume of water to soil moisture. Soil hygrometer sensor used to measure soil moisture in real time. Five bottles contained different volume of water poured into soil which the soil is fixed to 200gram.Three different rate of soil moisture applied to plant and the data were analysed to determined relationship between soil moisture to the plant growth. It can be concluded that the rate of soil moisture does have effect on the stem diameter and leaves length based on the observations of the plant growth for three weeks.

scholarly journals Rancang Bangun Sistem Monitoring Suhu dan Kelembaban Tanah pada Media Tanam Berbasis Mikrokontroler ATMEGA328P

2021 ◽  
Vol 2 (1) ◽  
pp. 29
Author(s):  
Putri Islam Nur Hikmah ◽  
Mislan Mislan ◽  
Rahmiati Munir
Keyword(s):  
Soil Moisture ◽  
Plant Growth ◽  
Soil Temperature ◽  
Real Time ◽  
Monitoring System ◽  
Time Process ◽  
The Real ◽  
Temperature And Humidity

Information of temperature and humidity in planting media is very important for cultivation activities and  the process of plant growth, where the real time process is very useful to determine the watering process on planting media. The purpose of the research that has been done was to design a monitoring system for soil temperature and humidity on the planting media and to make an automatic plant watering sprinkler by detecting soil moisture. A design for monitoring soil temperature and humidity on planting media has been made with a microcontroller. This instrument works when the pump detects soil with a range ​​from 0-3 cm/Hg for dry, 3.1-6 cm/Hg for moist and 6-7.9 cm/Hg for wet. When the soil is dry, the pump will work by removing water and stop when the soil is damp or wet.

SISTEM OTOMASI PENYIRAMAN TANAMAN BERBASIS TELEGRAM

SIGMA TEKNIKA ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 81
Author(s):  
Muhammad Irsyam
Keyword(s):  
Soil Moisture ◽  
Plant Growth ◽  
Water Intake ◽  
Smart Phone ◽  
Growth Failure ◽  
Automation System ◽  
Notification System ◽  
Efficiency And Effectiveness ◽  
Plant Automation

ABSTRAK           Faktor yang menentukan kegagalan pertumbuhan suatu tanaman hampir dipengaruhi oleh teknik atau cara penyiraman tanaman yang salah. Hal ini disebabkan oleh teknik penyiraman yang dilakukan secara manual sehingga tidak semua tanaman mendapatkan asupan air yang merata untuk menghidari tanaman menjadi layu. Faktor lain yang menyebabkan kegagalan pertumbuhan tanaman adalah kelembaban tanah.          Oleh karena itu, untuk mengurangi permasalahan tersebut dirancanglah “Sistem Otomasi Penyiraman Tanaman Berbasis Telegram”. Adapun sistem ini meliputi penyiraman tanaman secara otomatis berdasarkan kadar kelembaban tanah dengan sistem pemberitahuan atau notifikasi yang akan dikirimkan kepada petani dengan menggunakan aplikasi smart phone Telegram.          Sistem ini telah mampu mengontrol penyiraman sesuai dengan kondisi yang diinginkan. Dengan adanya sistem otomasi penyiraman tanaman berbasis telegram maka dapat meningkatkan efesiensi dan efektivitas petani sehingga kualitas tanaman dapat terjaga dengan baik.Kata kunci -- Penyiraman Tanaman, Penyiraman Secara Otomatis, Telegram.ABSTRACT                Factors that determine the failure of a plant's growth of almost are influenced by incorrect cropping techniques or methods. This is caused by the technique of watering is done manually so that not all plants get a uniform water intake to avoid crops withered. Another factor that causes plant growth failure is soil moisture.          Therefore, to reduce the problem was designed "Telegram Based Water Planting Automation System". The system includes automatic watering of plants based on moisture level of the soil with a notification or notification system that will be sent to farmers using Telegram smart phone applications.          This system has been able to control the watering according to the desired conditions. With the telegraph-based plant watering plant automation system can improve the efficiency and effectiveness of farmers so that the quality of the plant can be maintained properly. Keywords -- Watering Plants, Watering Automatically, Telegram.  

scholarly journals The roles of plant growth promoting rhizobacteria in sustainable vegetable production in Ethiopia

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Habtamu Mekonnen ◽  
Mulugeta Kibret
Keyword(s):  
Plant Growth ◽  
Plant Growth Promoting Rhizobacteria ◽  
Mineral Fertilizers ◽  
Vegetable Production ◽  
Inhibitory Effects ◽  
Food Grains ◽  
Plant Growth Promoting ◽  
Growth Promoting ◽  
Increasing Demand ◽  
Vegetable Cultivation

AbstractVegetable production is an important economic activity and a major source of vitamins, minerals, and income in Ethiopia. However, the production of vegetables is much less developed than the production of food grains in the country. Vegetable production still needs improvement in combating biotic and abiotic threats with innovative technologies. Nowadays, excess use of chemical fertilizers to satisfy the increasing demand for food exerts deadly effects on soil microorganisms and contribute to the deterioration of soil fertility and an increase in atmospheric pollution. Several types of research are still going on to understand the diversity and importance of plant growth promoting rhizobacteria (PGPR) and their role in the betterment of vegetable production. PGPR facilitate plant growth directly by either assisting in the acquisition of nutrients (nitrogen, phosphorus, and other essential nutrients) or regulation of the levels of hormones. Indirectly PGPR decrease the inhibitory effects of various pathogens on vegetable growth and development in the forms of biocontrol agents. Some of the notable PGPR capable of facilitating the growth of vegetables such as potato, tomato, pepper, onion belong to genera of Pseudomonas, Bacillus, Azotobacter, Enterobacter, and Azospirillum. Hence, to optimize vegetable production with reduced input of mineral fertilizers and pesticides, the use of PGPR in vegetable cultivation is recommended.

scholarly journals NOAA Satellite Soil Moisture Operational Product System (SMOPS) Version 3.0 Generates Higher Accuracy Blended Satellite Soil Moisture

2020 ◽  
Vol 12 (17) ◽  
pp. 2861
Author(s):  
Jifu Yin ◽  
Xiwu Zhan ◽  
Jicheng Liu
Keyword(s):  
Soil Moisture ◽  
Real Time ◽  
Land Surface ◽  
Vital Role ◽  
Product System ◽  
Global Soil ◽  
One Stop ◽  
Satellite Sensors ◽  
Blended Data

Soil moisture plays a vital role for the understanding of hydrological, meteorological, and climatological land surface processes. To meet the need of real time global soil moisture datasets, a Soil Moisture Operational Product System (SMOPS) has been developed at National Oceanic and Atmospheric Administration to produce a one-stop shop for soil moisture observations from all available satellite sensors. What makes the SMOPS unique is its near real time global blended soil moisture product. Since the first version SMOPS publicly released in 2010, the SMOPS has been updated twice based on the users’ feedbacks through improving retrieval algorithms and including observations from new satellite sensors. The version 3.0 SMOPS has been operationally released since 2017. Significant differences in climatological averages lead to remarkable distinctions in data quality between the newest and the older versions of SMOPS blended soil moisture products. This study reveals that the SMOPS version 3.0 has overwhelming advantages of reduced data uncertainties and increased correlations with respect to the quality controlled in situ measurements. The new version SMOPS also presents more robust agreements with the European Space Agency’s Climate Change Initiative (ESA_CCI) soil moisture datasets. With the higher accuracy, the blended data product from the new version SMOPS is expected to benefit the hydrological, meteorological, and climatological researches, as well as numerical weather, climate, and water prediction operations.

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