Satellite Guided Agriculture: Soil Fertility and Crop Management

2017 ◽  
pp. 261-388
Author(s):  
K. R. Krishna
Keyword(s):  
Soil Fertility ◽  
Crop Management ◽  
Agriculture Soil

scholarly journals Use of limestone and agricultural gypsum in cauliflower crop management and clubroot control in mountain farming

2020 ◽  
Vol 42 ◽  
pp. e42494
Author(s):  
Carlos Antônio dos Santos ◽  
Margarida Goréte Ferreira do Carmo ◽  
Aline da Silva Bhering ◽  
Evandro Silva Pereira Costa ◽  
Nelson Moura Brasil do Amaral Sobrinho
Keyword(s):  
Soil Fertility ◽  
Crop Management ◽  
Biomass Accumulation ◽  
Base Saturation ◽  
Root Volume ◽  
Broadcast Application ◽  
Application Method ◽  
Aluminum Ions

The effects of the dose and application method of limestone - broadcast or in furrow - and of agricultural gypsum on soil fertility, the control of clubroot, and cauliflower development in mountain farming areas were evaluated. Initially, four doses of broadcast limestone (0.0, 1.0, 2.0, and 4.0 Mg ha-1) and two cauliflower cultivars (Sharon and Piracicaba Precoce) were analyzed. A second experiment evaluated limestone (4.0 Mg ha-1) application treatments: broadcast and in furrow, broadcast limestone + gypsum (3.0 + 1.0 Mg ha-1), and broadcast gypsum (1.0 Mg ha-1). Soil fertility was improved, and significant increases were observed in the total and healthy root volume with increasing doses of limestone. With 4.0 Mg ha-1, a 58 and 85% increase in yield was observed in Sharon and Piracicaba, respectively, compared to the control. Treatments with limestone and limestone + gypsum, regardless of the application method, elevated pH (≥ 10%), base saturation (V%) (≥ 37%), and calcium (Ca) contents (≥ 100%), and reduced the levels of aluminum ions (Al3+) (≥ 60%) and clubroot severity (≥ 64%) and favored biomass accumulation (≥ 27%) and yield (≥ 9.2%). The application of limestone in the furrow yielded results similar to the broadcast application.

scholarly journals Synergy Of Soil Fertilization And Pollination For Sunflowers

2021 ◽  
Author(s):  
Sean Van Der Merwe ◽  
Dolapo Akinnuoye-Adelabu ◽  
Angelinus Franke
Keyword(s):  
South Africa ◽  
Ecosystem Services ◽  
Soil Fertility ◽  
Synergetic Effect ◽  
Crop Management ◽  
Free State ◽  
Soil Fertilization ◽  
Ecological Intensification ◽  
Eastern Free State

In order to harness the potential of ecological intensification during sunflower cropping, it is crucial to understand the potential synergies between crop management and ecosystem services. We therefore examined the effect of differing pollination intensification on sunflower yield and productivity under various levels of soil fertilization during 2017/18 and 2018/19 seasons in the eastern Free State, South Africa. We manipulated soil fertility with fertilizer treatments and used exclusion bags to manipulate pollination exclusion intensity. We found a synergetic effect between pollination and soil fertilization whereby high pollination intensity produced a far higher impact on sunflower yield when the soil had been fertilized.

scholarly journals SOSIALISASI INOVASI TEKNOLOGI BIDANG PERTANIAN DI KAMPUNG PONDOK BALES DESA LEMAH SUBUR

2021 ◽  
Vol 4 (2) ◽  
pp. 496
Author(s):  
Susilawati Susilawati ◽  
Budi Arif Dermawan ◽  
Haerudin Haerudin
Keyword(s):  
Soil Fertility ◽  
Youth Organization ◽  
Agriculture Soil ◽  
A Value ◽  
Detection Tool ◽  
Preparation Stage ◽  
Questions And Answers ◽  
Service Activity ◽  
Evaluation Stage ◽  
Implementation Stage

ABSTRAKPengabdian masyarakat ini bertujuan untuk mensosialisasikan dan mengaplikasikan inovasi teknologi dalam bidang pertanian, yaitu alat deteksi kesuburan tanah. Peserta yang dilibatkan dalam kegiatan pengabdian ini yaitu perwakilan aparat desa, petani dan para pemuda Karang Taruna. Rangkaian kegiatan ini meliputi 3 tahapan yaitu: Tahap persiapan, tahap pelaksanaaan dan tahap evaluasi. Tahap persiapan meliputi perizinan dan persiapan peserta serta persiapan pemateri. Tahap pelaksanaan meliputi  pembukaan, pemaparan mengenai alat deteksi kesuburan tanah dilanjutkan dengan diskusi dan tanya jawab peserta yang hadir, kemudian mempraktekan cara menggunakan alat deteksi tersebut, serah terima benih beserta tanaman dan alat deteksi untuk dimanfaatkan dan diaplikasikan dimasyarakat. Pada tahap evaluasi, peserta mengisi kuesioner yang telah disediakan, hasil kuesioner yaitu meliputi: aspek presentasi yang disampaikan pemateri memiliki nilai 73%, aspek atensi yang disampaikan oleh pemateri bernilai 76%, aspek komprehensif bernilai 86%, dan aspek hasil dengan nilai 84%. Serta aspek kognitif bernilai 80%, aspek afektif 87% dan aspek konatif 84%. Maka rata-rata semua aspek yaitu bernilai 82%. Kata kunci: pertanian; kesuburan tanah. ABSTRACTCommunity service aims to socialize and apply technological innovations in agriculture, that is a soil fertility detection tool. Participants involved in this service activity were representatives of village officials, farmers and youth from the Youth Organization. This series of activities includes 3 stages, namely: the preparation stage, the implementation stage and the evaluation stage. The preparation stage includes licensing and preparation of participants as well as the preparation of the presenters. The implementation stage includes opening, explaining about soil fertility detection tools, followed by discussion and questions and answers from the participants who attended. Then practice how to use the detection tool, hand over the seeds and plants and the detection tool to be used and applied in the community.  For activity evaluation materials, the results obtained from the questionnaires that have been filled in by the activity participants are: the presentation aspect explained by the speaker has a value of 73%. the attention aspect is delivered by the speaker was 76%. comprehensive aspect  has a value 86%, and the results aspect with a value of 84%. And the cognitive aspect has a value of 80%. 87% affective aspects and 84% conative aspects. Then the average of all aspects is worth 82%. Keywords: agriculture; soil fertility.

scholarly journals Synergy Of Soil Fertilization And Pollination For Sunflowers

2021 ◽  
Author(s):  
Sean Van Der Merwe ◽  
Dolapo Akinnuoye-Adelabu ◽  
Angelinus Franke
Keyword(s):  
South Africa ◽  
Ecosystem Services ◽  
Soil Fertility ◽  
Synergetic Effect ◽  
Crop Management ◽  
Free State ◽  
Soil Fertilization ◽  
Ecological Intensification ◽  
Eastern Free State

In order to harness the potential of ecological intensification during sunflower cropping, it is crucial to understand the potential synergies between crop management and ecosystem services. We therefore examined the effect of differing pollination intensification on sunflower yield and productivity under various levels of soil fertilization during 2017/18 and 2018/19 seasons in the eastern Free State, South Africa. We manipulated soil fertility with fertilizer treatments and used exclusion bags to manipulate pollination exclusion intensity. We found a synergetic effect between pollination and soil fertilization whereby high pollination intensity produced a far higher impact on sunflower yield when the soil had been fertilized.

Ammonia Transport in a Temperate Grassland: I. Seasonal Transport in Relation to Soil Fertility and Crop Management

1996 ◽  
Vol 88 (4) ◽  
pp. 614-621 ◽  
Author(s):  
Lowry A. Harper ◽  
D. Wim Bussink ◽  
Hugo G. Meer ◽  
Wim J. Corré
Keyword(s):  
Soil Fertility ◽  
Crop Management ◽  
Temperate Grassland ◽  
Ammonia Transport

Application of Improved K-Means Algorithm Density in the Grades of Cultivated Land Fertility Evaluation

2014 ◽  
Vol 644-650 ◽  
pp. 2047-2050
Author(s):  
Li Ying Cao ◽  
He Long Yu ◽  
Gui Fen Chen ◽  
Ting Ting Yang
Keyword(s):  
Soil Fertility ◽  
Precision Agriculture ◽  
Cluster Center ◽  
Selection Algorithm ◽  
Density Region ◽  
Data Set ◽  
Agriculture Soil ◽  
Initial Cluster ◽  
High Density Region ◽  
Clustering Center

precision agriculture, soil fertility evaluation is the foundation of variable rate fertilization, the initial clustering centers of K means algorithm soil fertility levels in the traditional evaluation methods generated randomly from the data set, the clustering result is not stable. This paper proposes an improved K-means algorithm density algorithm to optimize the initial clustering center selection algorithm based on K, the most far away to each other in high density region point as the initial cluster center. Experiments show that, the improved K-means algorithm can eliminate the dependence on the initial cluster center; the clustering result has been greatly improved.

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