Modern technology in fruit production.pptxsuhasini64
Precision Management of Tree Fruit Orchards. Integrating bio-regulators, predictive models and technology.
Taking a Narrow View: Precision Stone Fruit Orchards. New stone fruit production technologies include improved varieties with bacterial spot resistance, potentially dwarfing rootstocks, fully or partially mechanized orchard tasks (such as mechanized blossom thinning, hedging and worker/picker platforms) and climate modification.
New Techniques for Outwitting Insect Pests in Tree Fruit Orchards. New tactics that manipulate insect behavior can create improved and environmentally sound insect pest management in orchards.
Can High Tunnels Make Berry Growing More Profitable? High tunnels can make berry growing more profitable by using multirow integrated systems to improve production and labor efficiency
Advanced technology in fruit production.pptxsuhasini64
Soilless culture in modern agriculture includes technique of aeroponics.
The most important rule including the employment of sprayers, nebulizers, foggers to form a fine mist droplets for delivering nutrients to plants roots (Christie and Nichols, 2003)
The high yield of plants grown under aeroponics is due to adequate supply of oxygen and water
An efficient irrigation system for plasticulture of strawberry in bangladeshAlexander Decker
This document summarizes a study that developed an efficient and low-cost irrigation system for strawberry cultivation using plasticulture techniques in Bangladesh. The researchers tested a micro-drip irrigation system compared to conventional irrigation. Statistical analysis showed the plasticulture system with micro-drip irrigation significantly improved plant growth parameters and reduced production costs compared to conventional techniques, making it a viable option for rural farmers in Bangladesh.
Precision farming is a concept that uses technology like GPS, sensors, and data analysis to optimize crop yields. It involves precisely varying inputs like seeds, fertilizer, and irrigation based on variability within and between fields. Precision farming provides farmers detailed field data to improve decision making. It can increase profits by reducing costs from eliminating overlaps and increasing yields. While precision farming offers economic and environmental benefits like reduced pollution, initial costs are high and technology may be complex, especially for small landholders.
Role of protected cultivation in fruit cropsPraveen Mishra
This document discusses the role of protected cultivation in fruit crops. It defines protected cultivation as intensive agricultural systems that use structures like greenhouses, tunnels, shade nets, and mulches to control the environment and minimize pesticide use. These structures allow year-round production, higher yields, better quality, and less impact from weather events. The document provides examples of different protected cultivation technologies and their benefits for various fruit crops like strawberries, bananas, cherries, peaches, and blueberries. It summarizes research showing increased yields, reduced pest problems, and improved quality and harvest times with protected cultivation systems.
HIGH-THROUGHPUT PHENOTYPING METHODS FOR ECONOMIC TRAITS and DESIGNER PLANT TY...Komal Kute
A growing world population is expected to cause a "perfect storm" of food, feed, and biofuel. Under the climate change scenario, it is a challenge for agricultural scientists to ensure food and nutritional security for an ever-increasing population with limited and rapidly depleting resources. However, researchers are now observing that conventional breeding methods will not be sufficient to meet projected future demands for foods. To overcome these constraints, plant breeding has evolved over the past two decades towards a much closer integration of high-throughput phenotyping (HTP) tools and technologies.
The "phenotyping revolution" targets extremely precise and accurate measurements of very specific traits in large populations in the field. Sorghum breeding is not new to this advancement, which obviously implies significant shifts in the breeding programs. First, it indicates breeders integrate trait assessment with traditional yield and agronomic evaluation, emphasising that breeding programmes are opened up to new or other disciplines. It additionally requires that these new or other disciplines think about and conceptualise their own actions and orientations from the perspective of how they may fit into a breeding methodology. In this instance, the four primary sorghum breeding domains—staying green and transpiration limitation under high vapour pressure deficit (VPD); nodal root angle and depth; grain mineral content (Fe, Zn); and grain and stover quality traits—are tightly correlated with HTP. These ongoing initiatives focus on value of the particular trait and why it is considered by breeders; how it is measured with HTP approaches (method, throughput, cost, simplicity) and finally, how these traits are currently being embedded in the breeding program. Through various research, it became evident there are several other avenues of technology that, although not yet routinely implemented, could bring about a major benefit to the breeding programme’s endeavour to increase the rate of genetic gains. Here, we discuss the use of drone imaging for yield trial quality control and pinpoint plot heterogeneity, the integration of quality analysis into the assessment of agronomic traits in the field, and the use of X-ray spectroscopy to assess grain or crop architecture traits.
Protected Cultivation: Special Reference to fruit ProductionNishant Kadge
Even if the protective structures are cost effective, proper planning, management and attention to details are needed to achieve maximum benefits.
The protected cultivation promises the productive yield and quality improvement with good benefit cost ratio.
Smart viticulture practices such as efficient use of rootstocks, canopy management, and bud testing can help produce higher quality grapes by balancing the vine, improving light harvesting, and minimizing stresses. These practices aim to close the gap between potential and actual yields impacted by drought, salinity, and climate variation. Adopting techniques enabled by artificial intelligence and digital platforms can further help combat biotic and abiotic stresses and sustain grape production under changing climatic conditions.
Modern technology in fruit production.pptxsuhasini64
Precision Management of Tree Fruit Orchards. Integrating bio-regulators, predictive models and technology.
Taking a Narrow View: Precision Stone Fruit Orchards. New stone fruit production technologies include improved varieties with bacterial spot resistance, potentially dwarfing rootstocks, fully or partially mechanized orchard tasks (such as mechanized blossom thinning, hedging and worker/picker platforms) and climate modification.
New Techniques for Outwitting Insect Pests in Tree Fruit Orchards. New tactics that manipulate insect behavior can create improved and environmentally sound insect pest management in orchards.
Can High Tunnels Make Berry Growing More Profitable? High tunnels can make berry growing more profitable by using multirow integrated systems to improve production and labor efficiency
Advanced technology in fruit production.pptxsuhasini64
Soilless culture in modern agriculture includes technique of aeroponics.
The most important rule including the employment of sprayers, nebulizers, foggers to form a fine mist droplets for delivering nutrients to plants roots (Christie and Nichols, 2003)
The high yield of plants grown under aeroponics is due to adequate supply of oxygen and water
An efficient irrigation system for plasticulture of strawberry in bangladeshAlexander Decker
This document summarizes a study that developed an efficient and low-cost irrigation system for strawberry cultivation using plasticulture techniques in Bangladesh. The researchers tested a micro-drip irrigation system compared to conventional irrigation. Statistical analysis showed the plasticulture system with micro-drip irrigation significantly improved plant growth parameters and reduced production costs compared to conventional techniques, making it a viable option for rural farmers in Bangladesh.
Precision farming is a concept that uses technology like GPS, sensors, and data analysis to optimize crop yields. It involves precisely varying inputs like seeds, fertilizer, and irrigation based on variability within and between fields. Precision farming provides farmers detailed field data to improve decision making. It can increase profits by reducing costs from eliminating overlaps and increasing yields. While precision farming offers economic and environmental benefits like reduced pollution, initial costs are high and technology may be complex, especially for small landholders.
Role of protected cultivation in fruit cropsPraveen Mishra
This document discusses the role of protected cultivation in fruit crops. It defines protected cultivation as intensive agricultural systems that use structures like greenhouses, tunnels, shade nets, and mulches to control the environment and minimize pesticide use. These structures allow year-round production, higher yields, better quality, and less impact from weather events. The document provides examples of different protected cultivation technologies and their benefits for various fruit crops like strawberries, bananas, cherries, peaches, and blueberries. It summarizes research showing increased yields, reduced pest problems, and improved quality and harvest times with protected cultivation systems.
HIGH-THROUGHPUT PHENOTYPING METHODS FOR ECONOMIC TRAITS and DESIGNER PLANT TY...Komal Kute
A growing world population is expected to cause a "perfect storm" of food, feed, and biofuel. Under the climate change scenario, it is a challenge for agricultural scientists to ensure food and nutritional security for an ever-increasing population with limited and rapidly depleting resources. However, researchers are now observing that conventional breeding methods will not be sufficient to meet projected future demands for foods. To overcome these constraints, plant breeding has evolved over the past two decades towards a much closer integration of high-throughput phenotyping (HTP) tools and technologies.
The "phenotyping revolution" targets extremely precise and accurate measurements of very specific traits in large populations in the field. Sorghum breeding is not new to this advancement, which obviously implies significant shifts in the breeding programs. First, it indicates breeders integrate trait assessment with traditional yield and agronomic evaluation, emphasising that breeding programmes are opened up to new or other disciplines. It additionally requires that these new or other disciplines think about and conceptualise their own actions and orientations from the perspective of how they may fit into a breeding methodology. In this instance, the four primary sorghum breeding domains—staying green and transpiration limitation under high vapour pressure deficit (VPD); nodal root angle and depth; grain mineral content (Fe, Zn); and grain and stover quality traits—are tightly correlated with HTP. These ongoing initiatives focus on value of the particular trait and why it is considered by breeders; how it is measured with HTP approaches (method, throughput, cost, simplicity) and finally, how these traits are currently being embedded in the breeding program. Through various research, it became evident there are several other avenues of technology that, although not yet routinely implemented, could bring about a major benefit to the breeding programme’s endeavour to increase the rate of genetic gains. Here, we discuss the use of drone imaging for yield trial quality control and pinpoint plot heterogeneity, the integration of quality analysis into the assessment of agronomic traits in the field, and the use of X-ray spectroscopy to assess grain or crop architecture traits.
Protected Cultivation: Special Reference to fruit ProductionNishant Kadge
Even if the protective structures are cost effective, proper planning, management and attention to details are needed to achieve maximum benefits.
The protected cultivation promises the productive yield and quality improvement with good benefit cost ratio.
Smart viticulture practices such as efficient use of rootstocks, canopy management, and bud testing can help produce higher quality grapes by balancing the vine, improving light harvesting, and minimizing stresses. These practices aim to close the gap between potential and actual yields impacted by drought, salinity, and climate variation. Adopting techniques enabled by artificial intelligence and digital platforms can further help combat biotic and abiotic stresses and sustain grape production under changing climatic conditions.
The document discusses the development of a soil fertility and plant disease analyzer system. It proposes using machine learning algorithms to classify soil types, suggest suitable crops for each soil type, and detect plant diseases from images of leaves. The system would have two main phases - training machine learning models using a soil and crop database, and testing on new data. Random forest is identified as a supervised learning algorithm that could be used for classification problems in the system. The system would help farmers maximize crop yields in a sustainable way by recommending the right crops and detecting diseases early.
This document discusses high-tech agriculture, which uses technology like hydroponics, aeroponics, and tissue culture to grow crops. It allows for year-round production of high-quality outputs in controlled environments with minimal land and water usage. Key inputs include capital for infrastructure, computers for automation, and research and development. The document outlines advantages like increased yields, disease resistance, and environmental benefits, as well as disadvantages like high costs and labor needs. Post-harvest processing is also discussed as a way to add value and avoid losses from perishable crops.
A Novel approach for Weed Identification and Classification in Vegetable Plan...IRJET Journal
This document proposes a novel approach for weed identification and classification in vegetable plantations using deep learning and image processing techniques. It discusses traditional weed management methods and their disadvantages. Then, it summarizes various studies that have used techniques like deep learning models (CenterNet, RCNN, FCNs), image processing (color indexing, thresholding), feature extraction (HOG, GABOR filters), and machine learning algorithms (SVM, logistic regression) for weed detection and classification in crops. The proposed approach focuses on detecting vegetables using these techniques and considers the remaining areas as weeds, in order to help reduce the impact of weeds on agriculture.
This lecture provides an introduction to post-harvest management of horticultural crops. It discusses the importance of post-harvest technology in India given the large losses that occur between production and availability. Common causes of post-harvest losses include mechanical, physiological and parasitic issues. Proper harvesting, handling, storage and transportation are crucial to minimizing losses and maintaining quality. The lecture outlines several technologies that can be used such as waxing, evaporative cooling, cold storage, modified atmosphere packaging and irradiation. It emphasizes the need for improved infrastructure, training, awareness and research to reduce losses and maximize the supply of fruits and vegetables.
RECOMMENDATION OF CROP AND PESTICIDES USING MACHINE LEARNINGIRJET Journal
This document describes a study that uses machine learning algorithms to recommend crops, fertilizers, and pesticides to farmers based on soil properties and environmental conditions. The study collects data on factors like soil pH, moisture, temperature, and rainfall from soil testing laboratories and online sources. It then uses random forest, KNN, and decision tree algorithms to analyze the data and make recommendations. The random forest algorithm achieved the highest accuracy of 97% compared to 78% for decision tree and 83% for KNN. The goal is to help farmers select optimal crops and maximize yields by accounting for land conditions. The researchers conclude machine learning is an effective approach that can improve agricultural productivity and economic outcomes for farmers.
Agriculture machinery plays a significant role to enhance the productivity.
Geo-informatics is the science that gather data regarding field conditions (Accurately). These are computational model cum strong algorithm based machinery or equipment to obtain real time data with precise application
New breeding tool i.e. speed breeding (indoor plant breeding technique)to enhance the life cycle of crop. The concept involves exposing plants to an inordinate amount of light in a close green house environment in an efforts to speed up the growing process and produce new generation of seeds in a much quicker fashion
The document summarizes the System of Rice Intensification (SRI) methodology for rice production. SRI aims to meet the needs of rice sector in the 21st century through higher yields, lower water use, lower costs, and greater resilience. It achieves this through growing younger seedlings spaced further apart with intermittent flooding. SRI has been shown to increase yields by 50-100% with 25-50% less water in many countries. It enhances soil quality and rice plant growth through improved soil aeration and organic matter.
Effect of Seedling Density on Growth Attributes of Cauliflower variety Kathma...AI Publications
Nursery management including optimum seedling density is an important factor for better crop performance. A study was carried out to examine the effect of seedling density on growth attributes of cauliflower seedlings cv. Kathmandu local in the field of Lamjung Campus in Oct., 2018. Experiment consists of four treatments which were replicated five times and laid out in RCBD. Seed spacing treatments viz. 0.5cm x 1.0cm, 1.0cm x 1.0cm, 1.5cm x 1.5cm and 2.0cm x 2.0cm were maintained in a raised nursery beds. Field germination percentage was recorded up to 60% at fourth day after sowing (DAS) whereas in lab it was up to 74%. Above and below ground seedling biomass, unfold leaves area, number of true leaves, plant height and root length were recorded at 23 DAS by destructive method. ImageJ package was used for leaf area measurement. Data were tabulated in MS Excel and analyzed by GenStat. Root length (4.85cm) was significantly higher in spacing of 2cm x 2cm which was at par with 1.5cm x 1.5cm whereas lower in 0.5cm x 1.0cm. Significantly maximum value for fresh weight of root (0.045gm), fresh weight of shoot (0.91gm), dry weight of shoot (0.11gm) and dry matter percentage (12%) was observed in 1.5cm x 1.5cm spacing. Seedlings greater than 1.5cm to 2cm spacing performed better than closer spacing in most of the variable of interests, however, there was no significant differences observed in number of true leaves, leaf area and plant height. A trial with wider spacing considering seedling health is recommended.
Detection of Early Leaf spot of groundnut using Neural Network techniquesIRJET Journal
This document describes a study that used neural network techniques to detect early leaf spot disease in groundnut plants. Specifically, it developed detection models using convolutional neural networks (CNNs) and artificial neural networks (ANNs). Thermal and RGB images of healthy and infected groundnut leaves were collected and preprocessed. An ANN model was developed using the thermal image data to classify temperature differences between healthy and diseased leaf areas. CNN models were also trained on the RGB image data set to identify healthy versus infected leaves. The models achieved high accuracy, demonstrating the potential of neural networks for early and accurate detection of this important groundnut disease.
Protected Cultivation and Secondary Agriculture (Introduction)pramodrai30
- Protected cultivation involves growing crops in a controlled environment for optimal growth conditions. It protects crops from adverse weather.
- Key objectives of protected cultivation include controlling the temperature, light, humidity, carbon dioxide levels, excess moisture/runoff, water loss, weed growth, and leaching of fertilizers to protect from pests and diseases.
- Common technologies for protected cultivation are greenhouses, shade nets, low tunnels, mulching, soil solarization, drip/sprinkler irrigation, and fertigation. This allows for higher productivity, better quality produce, and year-round cultivation.
Microclimate Modification Using Eco-Friendly Nets & Floating Row Covers Improves Tomato Yield & Quality for Small Holder Farmers in East Africa; Gardening Guidebook for East Africa ~ Egerton University~ For more information, Please see websites below:
`
Organic Edible Schoolyards & Gardening with Children =
http://scribd.com/doc/239851214 ~
`
Double Food Production from your School Garden with Organic Tech =
http://scribd.com/doc/239851079 ~
`
Free School Gardening Art Posters =
http://scribd.com/doc/239851159 ~
`
Increase Food Production with Companion Planting in your School Garden =
http://scribd.com/doc/239851159 ~
`
Healthy Foods Dramatically Improves Student Academic Success =
http://scribd.com/doc/239851348 ~
`
City Chickens for your Organic School Garden =
http://scribd.com/doc/239850440 ~
`
Huerto Ecológico, Tecnologías Sostenibles, Agricultura Organica
http://scribd.com/doc/239850233
`
Simple Square Foot Gardening for Schools - Teacher Guide =
http://scribd.com/doc/239851110
Plant Architectural Engineering in fruit crops: Physiology and Prospects MANDEEP KAUR
This document summarizes a presentation on plant architectural engineering in fruit crops. It discusses the components of fruit tree architecture including identifying shoot types and analyzing branching patterns. It also covers manipulating tree architecture through training, pruning, and other methods. Training methods like central leader, modified leader, and dwarf tree systems are described. Pruning impacts physiology by removing apical dominance and improving light penetration and fruit quality. Rootstocks also influence scion architecture and productivity. The optimal architecture allows for high light interception and photosynthesis efficiency while maintaining balanced growth and high yields.
1. The document discusses integrated weed management (IWM), which aims to control weeds through a coordinated approach using multiple methods, including cultural, mechanical, chemical, and biological control.
2. IWM seeks to minimize herbicide use and prevent the buildup of herbicide-resistant weeds through a combination of prevention, eradication, and control techniques.
3. The principles of IWM include placing crops in competitive advantage over weeds, reducing weed survival mechanisms in soil, and using practices that are flexible, environmentally friendly, and discourage perennial and parasitic weeds.
This document proposes an intelligent control system for an aeroponics-based greenhouse. It consists of a data collection/monitoring system using sensors, a control system, a centralized server, and a multiplatform web-based application. A Raspberry Pi development board is used to prototype a low-cost system. The system allows for both local and remote controlling and monitoring of the greenhouse. It aims to optimize various factors like control, quality, automation through precise environmental monitoring and regulation. Traditional farming has issues like dependency on external conditions and inefficient water and pesticide use. Greenhouse agriculture and controlled environment farming techniques address some issues but precision control remains a challenge. The proposed system integrates various automation components to precisely manage resources and growth conditions
Aeroponic Based Controlled Environment Based Farming Systemiosrjce
Controlled Environment Farming is one of the emerging technologies in the farming and agriculture
industries nowadays. Aeroponics is an optimized process developed for growing crops and plants in an air
medium without the use of soil or an aggregate medium by spraying the plant’s roots with an atomized or
sprayed, nutrient-rich water solution. Various automated farming system has been developed using sensor
networks and control systems to improve agricultural produc-tivity. Traditional farming techniques are complex
and strictly influenced by soil conditions, climate, weather, crop types, and so on. Authors have proposed a
system in which an environment monitoring, quality evaluation and crop growth, data recording, and online
data submitting and multiplatform compatibility were integrated. The control system based on agricultural
information measured by field monitoring sensors is a proved effective method to improve quality of
agricultural product in a greenhouse.
In this study, we proposed an intelligent control system for an aeroponics-based greenhouse, which
consists of data collec-tion/monitoring system, control system, centralized sever, and multiplatform web-based
controlling/monitoring application for agricultural facilities. The prototype system for establishing a low-cost
aeroponics-based greenhouse control system can be designed based on an open-source development board
called Raspberry Pi. The system can be used both locally and over the Internet, which has a large set of
controlling and monitoring function for the greenhouse. The system is proposed to achieve maximum
optimization, control, quality, automation, etc. in an aeroponics-based greenhouse.
The document discusses the development of a soil fertility and plant disease analyzer system. It proposes using machine learning algorithms to classify soil types, suggest suitable crops for each soil type, and detect plant diseases from images of leaves. The system would have two main phases - training machine learning models using a soil and crop database, and testing on new data. Random forest is identified as a supervised learning algorithm that could be used for classification problems in the system. The system would help farmers maximize crop yields in a sustainable way by recommending the right crops and detecting diseases early.
This document discusses high-tech agriculture, which uses technology like hydroponics, aeroponics, and tissue culture to grow crops. It allows for year-round production of high-quality outputs in controlled environments with minimal land and water usage. Key inputs include capital for infrastructure, computers for automation, and research and development. The document outlines advantages like increased yields, disease resistance, and environmental benefits, as well as disadvantages like high costs and labor needs. Post-harvest processing is also discussed as a way to add value and avoid losses from perishable crops.
A Novel approach for Weed Identification and Classification in Vegetable Plan...IRJET Journal
This document proposes a novel approach for weed identification and classification in vegetable plantations using deep learning and image processing techniques. It discusses traditional weed management methods and their disadvantages. Then, it summarizes various studies that have used techniques like deep learning models (CenterNet, RCNN, FCNs), image processing (color indexing, thresholding), feature extraction (HOG, GABOR filters), and machine learning algorithms (SVM, logistic regression) for weed detection and classification in crops. The proposed approach focuses on detecting vegetables using these techniques and considers the remaining areas as weeds, in order to help reduce the impact of weeds on agriculture.
This lecture provides an introduction to post-harvest management of horticultural crops. It discusses the importance of post-harvest technology in India given the large losses that occur between production and availability. Common causes of post-harvest losses include mechanical, physiological and parasitic issues. Proper harvesting, handling, storage and transportation are crucial to minimizing losses and maintaining quality. The lecture outlines several technologies that can be used such as waxing, evaporative cooling, cold storage, modified atmosphere packaging and irradiation. It emphasizes the need for improved infrastructure, training, awareness and research to reduce losses and maximize the supply of fruits and vegetables.
RECOMMENDATION OF CROP AND PESTICIDES USING MACHINE LEARNINGIRJET Journal
This document describes a study that uses machine learning algorithms to recommend crops, fertilizers, and pesticides to farmers based on soil properties and environmental conditions. The study collects data on factors like soil pH, moisture, temperature, and rainfall from soil testing laboratories and online sources. It then uses random forest, KNN, and decision tree algorithms to analyze the data and make recommendations. The random forest algorithm achieved the highest accuracy of 97% compared to 78% for decision tree and 83% for KNN. The goal is to help farmers select optimal crops and maximize yields by accounting for land conditions. The researchers conclude machine learning is an effective approach that can improve agricultural productivity and economic outcomes for farmers.
Agriculture machinery plays a significant role to enhance the productivity.
Geo-informatics is the science that gather data regarding field conditions (Accurately). These are computational model cum strong algorithm based machinery or equipment to obtain real time data with precise application
New breeding tool i.e. speed breeding (indoor plant breeding technique)to enhance the life cycle of crop. The concept involves exposing plants to an inordinate amount of light in a close green house environment in an efforts to speed up the growing process and produce new generation of seeds in a much quicker fashion
The document summarizes the System of Rice Intensification (SRI) methodology for rice production. SRI aims to meet the needs of rice sector in the 21st century through higher yields, lower water use, lower costs, and greater resilience. It achieves this through growing younger seedlings spaced further apart with intermittent flooding. SRI has been shown to increase yields by 50-100% with 25-50% less water in many countries. It enhances soil quality and rice plant growth through improved soil aeration and organic matter.
Effect of Seedling Density on Growth Attributes of Cauliflower variety Kathma...AI Publications
Nursery management including optimum seedling density is an important factor for better crop performance. A study was carried out to examine the effect of seedling density on growth attributes of cauliflower seedlings cv. Kathmandu local in the field of Lamjung Campus in Oct., 2018. Experiment consists of four treatments which were replicated five times and laid out in RCBD. Seed spacing treatments viz. 0.5cm x 1.0cm, 1.0cm x 1.0cm, 1.5cm x 1.5cm and 2.0cm x 2.0cm were maintained in a raised nursery beds. Field germination percentage was recorded up to 60% at fourth day after sowing (DAS) whereas in lab it was up to 74%. Above and below ground seedling biomass, unfold leaves area, number of true leaves, plant height and root length were recorded at 23 DAS by destructive method. ImageJ package was used for leaf area measurement. Data were tabulated in MS Excel and analyzed by GenStat. Root length (4.85cm) was significantly higher in spacing of 2cm x 2cm which was at par with 1.5cm x 1.5cm whereas lower in 0.5cm x 1.0cm. Significantly maximum value for fresh weight of root (0.045gm), fresh weight of shoot (0.91gm), dry weight of shoot (0.11gm) and dry matter percentage (12%) was observed in 1.5cm x 1.5cm spacing. Seedlings greater than 1.5cm to 2cm spacing performed better than closer spacing in most of the variable of interests, however, there was no significant differences observed in number of true leaves, leaf area and plant height. A trial with wider spacing considering seedling health is recommended.
Detection of Early Leaf spot of groundnut using Neural Network techniquesIRJET Journal
This document describes a study that used neural network techniques to detect early leaf spot disease in groundnut plants. Specifically, it developed detection models using convolutional neural networks (CNNs) and artificial neural networks (ANNs). Thermal and RGB images of healthy and infected groundnut leaves were collected and preprocessed. An ANN model was developed using the thermal image data to classify temperature differences between healthy and diseased leaf areas. CNN models were also trained on the RGB image data set to identify healthy versus infected leaves. The models achieved high accuracy, demonstrating the potential of neural networks for early and accurate detection of this important groundnut disease.
Protected Cultivation and Secondary Agriculture (Introduction)pramodrai30
- Protected cultivation involves growing crops in a controlled environment for optimal growth conditions. It protects crops from adverse weather.
- Key objectives of protected cultivation include controlling the temperature, light, humidity, carbon dioxide levels, excess moisture/runoff, water loss, weed growth, and leaching of fertilizers to protect from pests and diseases.
- Common technologies for protected cultivation are greenhouses, shade nets, low tunnels, mulching, soil solarization, drip/sprinkler irrigation, and fertigation. This allows for higher productivity, better quality produce, and year-round cultivation.
Microclimate Modification Using Eco-Friendly Nets & Floating Row Covers Improves Tomato Yield & Quality for Small Holder Farmers in East Africa; Gardening Guidebook for East Africa ~ Egerton University~ For more information, Please see websites below:
`
Organic Edible Schoolyards & Gardening with Children =
http://scribd.com/doc/239851214 ~
`
Double Food Production from your School Garden with Organic Tech =
http://scribd.com/doc/239851079 ~
`
Free School Gardening Art Posters =
http://scribd.com/doc/239851159 ~
`
Increase Food Production with Companion Planting in your School Garden =
http://scribd.com/doc/239851159 ~
`
Healthy Foods Dramatically Improves Student Academic Success =
http://scribd.com/doc/239851348 ~
`
City Chickens for your Organic School Garden =
http://scribd.com/doc/239850440 ~
`
Huerto Ecológico, Tecnologías Sostenibles, Agricultura Organica
http://scribd.com/doc/239850233
`
Simple Square Foot Gardening for Schools - Teacher Guide =
http://scribd.com/doc/239851110
Plant Architectural Engineering in fruit crops: Physiology and Prospects MANDEEP KAUR
This document summarizes a presentation on plant architectural engineering in fruit crops. It discusses the components of fruit tree architecture including identifying shoot types and analyzing branching patterns. It also covers manipulating tree architecture through training, pruning, and other methods. Training methods like central leader, modified leader, and dwarf tree systems are described. Pruning impacts physiology by removing apical dominance and improving light penetration and fruit quality. Rootstocks also influence scion architecture and productivity. The optimal architecture allows for high light interception and photosynthesis efficiency while maintaining balanced growth and high yields.
1. The document discusses integrated weed management (IWM), which aims to control weeds through a coordinated approach using multiple methods, including cultural, mechanical, chemical, and biological control.
2. IWM seeks to minimize herbicide use and prevent the buildup of herbicide-resistant weeds through a combination of prevention, eradication, and control techniques.
3. The principles of IWM include placing crops in competitive advantage over weeds, reducing weed survival mechanisms in soil, and using practices that are flexible, environmentally friendly, and discourage perennial and parasitic weeds.
This document proposes an intelligent control system for an aeroponics-based greenhouse. It consists of a data collection/monitoring system using sensors, a control system, a centralized server, and a multiplatform web-based application. A Raspberry Pi development board is used to prototype a low-cost system. The system allows for both local and remote controlling and monitoring of the greenhouse. It aims to optimize various factors like control, quality, automation through precise environmental monitoring and regulation. Traditional farming has issues like dependency on external conditions and inefficient water and pesticide use. Greenhouse agriculture and controlled environment farming techniques address some issues but precision control remains a challenge. The proposed system integrates various automation components to precisely manage resources and growth conditions
Aeroponic Based Controlled Environment Based Farming Systemiosrjce
Controlled Environment Farming is one of the emerging technologies in the farming and agriculture
industries nowadays. Aeroponics is an optimized process developed for growing crops and plants in an air
medium without the use of soil or an aggregate medium by spraying the plant’s roots with an atomized or
sprayed, nutrient-rich water solution. Various automated farming system has been developed using sensor
networks and control systems to improve agricultural produc-tivity. Traditional farming techniques are complex
and strictly influenced by soil conditions, climate, weather, crop types, and so on. Authors have proposed a
system in which an environment monitoring, quality evaluation and crop growth, data recording, and online
data submitting and multiplatform compatibility were integrated. The control system based on agricultural
information measured by field monitoring sensors is a proved effective method to improve quality of
agricultural product in a greenhouse.
In this study, we proposed an intelligent control system for an aeroponics-based greenhouse, which
consists of data collec-tion/monitoring system, control system, centralized sever, and multiplatform web-based
controlling/monitoring application for agricultural facilities. The prototype system for establishing a low-cost
aeroponics-based greenhouse control system can be designed based on an open-source development board
called Raspberry Pi. The system can be used both locally and over the Internet, which has a large set of
controlling and monitoring function for the greenhouse. The system is proposed to achieve maximum
optimization, control, quality, automation, etc. in an aeroponics-based greenhouse.
1.) Introduction
Our Movement is not new; it is the same as it was for Freedom, Justice, and Equality since we were labeled as slaves. However, this movement at its core must entail economics.
2.) Historical Context
This is the same movement because none of the previous movements, such as boycotts, were ever completed. For some, maybe, but for the most part, it’s just a place to keep your stable until you’re ready to assimilate them into your system. The rest of the crabs are left in the world’s worst parts, begging for scraps.
3.) Economic Empowerment
Our Movement aims to show that it is indeed possible for the less fortunate to establish their economic system. Everyone else – Caucasian, Asian, Mexican, Israeli, Jews, etc. – has their systems, and they all set up and usurp money from the less fortunate. So, the less fortunate buy from every one of them, yet none of them buy from the less fortunate. Moreover, the less fortunate really don’t have anything to sell.
4.) Collaboration with Organizations
Our Movement will demonstrate how organizations such as the National Association for the Advancement of Colored People, National Urban League, Black Lives Matter, and others can assist in creating a much more indestructible Black Wall Street.
5.) Vision for the Future
Our Movement will not settle for less than those who came before us and stopped before the rights were equal. The economy, jobs, healthcare, education, housing, incarceration – everything is unfair, and what isn’t is rigged for the less fortunate to fail, as evidenced in society.
6.) Call to Action
Our movement has started and implemented everything needed for the advancement of the economic system. There are positions for only those who understand the importance of this movement, as failure to address it will continue the degradation of the people deemed less fortunate.
No, this isn’t Noah’s Ark, nor am I a Prophet. I’m just a man who wrote a couple of books, created a magnificent website: http://www.thearkproject.llc, and who truly hopes to try and initiate a truly sustainable economic system for deprived people. We may not all have the same beliefs, but if our methods are tried, tested, and proven, we can come together and help others. My website: http://www.thearkproject.llc is very informative and considerably controversial. Please check it out, and if you are afraid, leave immediately; it’s no place for cowards. The last Prophet said: “Whoever among you sees an evil action, then let him change it with his hand [by taking action]; if he cannot, then with his tongue [by speaking out]; and if he cannot, then, with his heart – and that is the weakest of faith.” [Sahih Muslim] If we all, or even some of us, did this, there would be significant change. We are able to witness it on small and grand scales, for example, from climate control to business partnerships. I encourage, invite, and challenge you all to support me by visiting my website.
This presentation by Katharine Kemp, Associate Professor at the Faculty of Law & Justice at UNSW Sydney, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
Why Psychological Safety Matters for Software Teams - ACE 2024 - Ben Linders.pdfBen Linders
Psychological safety in teams is important; team members must feel safe and able to communicate and collaborate effectively to deliver value. It’s also necessary to build long-lasting teams since things will happen and relationships will be strained.
But, how safe is a team? How can we determine if there are any factors that make the team unsafe or have an impact on the team’s culture?
In this mini-workshop, we’ll play games for psychological safety and team culture utilizing a deck of coaching cards, The Psychological Safety Cards. We will learn how to use gamification to gain a better understanding of what’s going on in teams. Individuals share what they have learned from working in teams, what has impacted the team’s safety and culture, and what has led to positive change.
Different game formats will be played in groups in parallel. Examples are an ice-breaker to get people talking about psychological safety, a constellation where people take positions about aspects of psychological safety in their team or organization, and collaborative card games where people work together to create an environment that fosters psychological safety.
• For a full set of 530+ questions. Go to
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Gamify it until you make it Improving Agile Development and Operations with ...Ben Linders
So many challenges, so little time. While we’re busy developing software and keeping it operational, we also need to sharpen the saw, but how? Gamification can be a way to look at how you’re doing and find out where to improve. It’s a great way to have everyone involved and get the best out of people.
In this presentation, Ben Linders will show how playing games with the DevOps coaching cards can help to explore your current development and deployment (DevOps) practices and decide as a team what to improve or experiment with.
The games that we play are based on an engagement model. Instead of imposing change, the games enable people to pull in ideas for change and apply those in a way that best suits their collective needs.
By playing games, you can learn from each other. Teams can use games, exercises, and coaching cards to discuss values, principles, and practices, and share their experiences and learnings.
Different game formats can be used to share experiences on DevOps principles and practices and explore how they can be applied effectively. This presentation provides an overview of playing formats and will inspire you to come up with your own formats.
The importance of sustainable and efficient computational practices in artificial intelligence (AI) and deep learning has become increasingly critical. This webinar focuses on the intersection of sustainability and AI, highlighting the significance of energy-efficient deep learning, innovative randomization techniques in neural networks, the potential of reservoir computing, and the cutting-edge realm of neuromorphic computing. This webinar aims to connect theoretical knowledge with practical applications and provide insights into how these innovative approaches can lead to more robust, efficient, and environmentally conscious AI systems.
Webinar Speaker: Prof. Claudio Gallicchio, Assistant Professor, University of Pisa
Claudio Gallicchio is an Assistant Professor at the Department of Computer Science of the University of Pisa, Italy. His research involves merging concepts from Deep Learning, Dynamical Systems, and Randomized Neural Systems, and he has co-authored over 100 scientific publications on the subject. He is the founder of the IEEE CIS Task Force on Reservoir Computing, and the co-founder and chair of the IEEE Task Force on Randomization-based Neural Networks and Learning Systems. He is an associate editor of IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
This presentation by Tim Capel, Director of the UK Information Commissioner’s Office Legal Service, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
This presentation by Professor Giuseppe Colangelo, Jean Monnet Professor of European Innovation Policy, was made during the discussion “The Intersection between Competition and Data Privacy” held at the 143rd meeting of the OECD Competition Committee on 13 June 2024. More papers and presentations on the topic can be found at oe.cd/ibcdp.
This presentation was uploaded with the author’s consent.
2. 2
20-05-2024 Dept. of FSC
Fruit production is 108.34 million tonnes in the year 2022-23 as
compared to 107.51 million tonnes in the year 2021-22.
3.
4.
5. I. Use of modern technology for fruit cultivation
Improved productivity from the
mechanization
Climate/ weather prediction through
artificial intelligence
(Drones, remote sensors and satellites)
Resilient crops developed via the use of
biotechnology
Hydroponics/aeroponics
6. Precision farming is a
management
strategy that
employs detailed,
site specific
information to
precisely manage
production inputs.
7. Advance and modern techniques for preparing land and soilless
cultivation in fruit production
• Soilless culture in modern agriculture
includes technique of aeroponics.
• The most important rule including the
employment of sprayers, nebulizers,
foggers to form a fine mist droplets
for delivering nutrients to plants roots
(Christie and Nichols, 2003)
• The high yield of plants grown under
aeroponics is due to adequate supply
of oxygen and water
8. Table 1. Peculiarity of advance and modern technique in land preparation
and soilless cultivation in fruit production
Sl.
No.
Technique Crop Peculiarity References
1
Hydroponics:
nutrient film
hydroponic
system (NFT)
Strawberry Similar plant growth under different
concentration of nitrogen, potassium,
calcium
Chow et al.,
(2002)
2
Subsoiler
drawn by
walking tractor
Apple Soil bulk density decreased;
improvement in soil porosity;
enhancement in soil water content in
soil, soil organic matter and soil total
nitrogen
Gao et al.,
(2010)
3
Autonomous
tractor
Plantation
crops
Self-ruling route framework to
decrease vehicle's sensor cost
Thanpattran
on et al.,
(2015)
4
Aeroponics:
tropical
greenhouse
condition
Strawberry Ground heat exchanger for root-zone
cooling on the development and yield.
Pascual et
al., 2019
10. Attributes Traditional system Meadow system
Bearing After two years From first year
Production Average yield is 12-20 t ha-I Average yield is 40-60 t
ha-I
Management Difficult to manage due to
large tree size
Easy to manage due to
small tree size
Labour requirement Requires more labour Requires less labour
Production cost Higher cost of production Lower cost of production
Harvesting Quality Difficult Large canopy, poor
sunlight penetration and poor
quality fruits.
Easy Small canopy, better
air and sunlight
penetration, minimum
disease incidence and
high quality fruits with
good colour development
13. Growth regulation
• It is the manipulation of tree
architecture/ canopies to regulate the
growth and development of the crop
to obtain the quality products (fruits).
Main aim:
• To develop a better architecture for
the maximum harvest and utilization
of sunlight.
• Most fundamental – to improve
14. Method
s
Physical methods
1. Training and
pruning
2. Root pruning
3. Ringing/ scoring/
cincturing
4. Girdling
5. Notching
6. Smudging
7. Bending
Chemical methods
1. Growth regulators
- NAA, GA
2. Growth retardants
– triazole
compounds
15. IV. Use of Genetically dwarf scion varieties
(Saroj and Singh, 2018)
16. V. Advance technology for identifying plant diseases
Optical sensors offer the opportunity for non-destructive
disease monitoring at different scales
Biological control (T. viride, T. harzainum, Pseudomonas sp.,
Beauvaria bassiana, Metarrhizium anisopliae and Bacillus
subtilis)
Disease forecasting and monitoring (to determine number of
sprays and prepare schedules of application)
New generation fungicides (strobilurins, Oxazolidinediones
(faoxadone), Phenoxyquinolines, Anilinopyrimidines
(cyprodinil, pyrimethanil), phenylpyrroles (fenpicloil,
fludioxonil), Spiroketalamines (spiroxamine), Benzamides
(mandipropamid), Cyanoimidazoles (cyazofamid),
Thiocarbamates (ethaboxam) and Amdoximes etc.
17.
18. Table 2: Peculiarity of advance and modern techniques for orchard
management in fruit production
Sl.
No.
Technique Crop Peculiarity References
1
Remote sensing Peach Spider mite damage is monitored
using remote sensing. It helps to
reduce cost of pest monitoring. Help
to manage other pests also.
Luedeling et al.,
2009
2
Smart sprayer-
Target-sensing
sprayers
Apples Reduced application rates of
pesticide/insecticides by 15 - 40
percent and non-subject orchard soil
deposition by 5 to 72 percent
Giles et al.,
2011
3
Spring and
summer pruning-
allocation of
Carbon to shoot
that are fruiting.
Apricot
and
peach
Differentiation of flower buds is high
in apricot. Maintenance of easier
training system for peach. Better
light distribution
Neri and
Massetani 2011
4
Use of artificial
neural networks
Apples Effective identification of pests by
analysis of model
Boniecki et al.,
2015
19. 5
Application of
plant protection
product system
with
measurement
sensing.
All orchard
crops
Precise application of
chemicals and directing the
air flow and the dosage rate
properly to each tree
canopy.
Berk et al.,
2016
6
Robotic-End
effector -
Automatic
pruning of trees
Apple Helps in branch pruning by
cutting the branches up to
12 mm in diameter.
Zahid et al.,
2019
7
Intelligent
machine for
pruning by
designed
through
algorithm
related with 3D
image
processing
Grapevine Acceptable performance and
correct detection of pruning
point of the grapevines with
an accuracy of 96.8%.
Hosseini and
Jaffari, 2017
20. VI. Use of nanotechnology
IFFCO (Indian Farmers
Fertilizer Cooperative) Nano
Urea is the only nano fertilizer
approved by the government of
India and included in the
Fertilizer Control Order (FCO).
Application of 1bottle of Nano
urea can effectively replace
atleast 1bag of urea.
21. VII. Exploitation of stock-scion interactions for canopy vigour
management And sustainable productivity
• Rootstock trial in mango (cv. Totapuri)- For eight years old
Totapuri trees, maximum canopy vigour was with Turpentine
and Olour rootstocks while least was with Nekkare followed by
Vellaikulamban.
• Fruit yield was highest on Turpentine followed by Olour rootstock
and least on Nekkare followed by Kensington and Vellaikulamban
rootstocks.
• The Rootstock Hebbalasu (Artocarpushirsutus) Recorded Higher
Values For Tree Height (1.2 M) And Tree Spread (0.53 M) And
Was More Vigorous Compared With Other Rootstocks Tried.
22. Near-infrared (VIS–NIR) spectroscopy
Digital photography
Multispectral and hyperspectral imaging
Thermal imaging
Light detection and ranging (LiDAR)
Recent phenotypic techniques for better
management of fruit crops
22
Ren et al., 2020
20-05-2024 Dept. of FSC
23. Table 3: The applications of VIS–NIR spectroscopy in the study of fruit tree phenotypes
23
20-05-2024 Dept. of FSC
Ren et al., 2020
Application Species Spectral range Detected parameters
Pigment and
nutrient contents
Apple orchard 253–922 nm Chl
Vineyard 350–2500 nm Moisture, N, Mg,
Water stress Citrus orchard 350–2500 nm Water status
Olive orchard 350–2500 nm Leaf water potential
Vineyard 1600–2400 nm Relative water content
Biochemical
parameters
Mango orchard 302–1148 nm TSS, TA,
Vineyard 570–900 nm TSS, Anthocyanins,
Polyphenols
Table 4: The applications of digital photography in the study of fruit tree phenotypes
Application Species Detected parameters
Architectural parameters Apple, Almond, Citrus orchard LAI
Biochemical parameters Mango orchard Chl-a, Chl-t, Chl-b,
Carotenoids, TSS, TA,
24. Fig. 1. Photoselective red net mounted on a block of Jonagold and Fuji trees in the experimental orchard. The net
caged the whole canopies of the trees to create both a shading and pest-exclusion effect and was attached to a
wire 0.5 m from the soil to permit access. (For interpretation of the references to colour in this figure legend,
the reader is referred to the web version of this article.)
24
Aouna et al., 2020
20-05-2024 Dept. of FSC
25. Leaf plunker unit- for
the removal of basal
leaves before flowering
The tractor-mounted vertical
action prototype head to thin
clusters at berry pea size
(COMBI system)
26. The post-veraison removal of leaves from the mid-canopy to slow-down
sugar synthesis and ripening.
The basal leaves are maintained intact so as not to expose clusters to
high temperatures.
28. Components of organic farming
1. Green manuring
2. Mulching
3. Biofertilizers
4. Compost
5. Use of organic liquid manures
6. Biological pest and disease control
31. Root which impart better vigour and productivity of soil even
under adverse situation and provides required architecture
•Used in most of the perennial fruit trees
•Use of rootstock is success story in:
–Grape: Dogridgeand 110R (drought and salinity tolerance)
–Citrus:Alemow
–Mango: 13-1
–Guava: Interspecific wilt resistant rootstock (P. mollex P
guajava)
Rootstocks research
42. •Development of hybrids -genes for higher yield and resistance to
biotic and abiotic stress which respond to climate change
•Improved production technology for mitigating problematic soil
•Enabling efficient use of water, nutrients and solar energy
•Technology for safe management of insect pests and diseases
•Reduction in post-harvest losses and value addition
•New areas
organic farming
precision farming
protected cultivation
biotechnology
Research priorities